Last GRE Computer Science Syllabus

Overview

  • The test consists of approximately 70 multiple-choice questions, some of which are grouped in sets and based on such materials as diagrams, graphs and program fragments.
  • The approximate distribution of questions in each edition of the test according to content categories is indicated by the following outline.
  • The percentages given are approximate; actual percentages will vary slightly from one edition of the test to another.

Content Specifications

I. SOFTWARE SYSTEMS AND METHODOLOGY — 40%

A. Data organization

  • Data types
  • Data structures and implementation techniques

B. Program control and structure

  • Iteration and recursion
  • Procedures, functions, methods and exception handlers
  • Concurrency, communication and synchronization

C. Programming languages and notation

  • Constructs for data organization and program control
  • Scope, binding and parameter passing
  • Expression evaluation

D. Software engineering

  • Formal specifications and assertions
  • Verification techniques
  • Software development models, patterns and tools

E. Systems

  • Compilers, interpreters and run-time systems
  • Operating systems, including resource management and protection/security
  • Networking, Internet and distributed systems
  • Databases
  • System analysis and development tools

II. COMPUTER ORGANIZATION AND ARCHITECTURE — 15%

A. Digital logic design

  • Implementation of combinational and sequential circuits
  • Optimization and analysis

B. Processors and control units

  • Instruction sets
  • Computer arithmetic and number representation
  • Register and ALU organization
  • Data paths and control sequencing

C. Memories and their hierarchies

  • Performance, implementation and management
  • Cache, main and secondary storage
  • Virtual memory, paging and segmentation

D. Networking and communications

  • Interconnect structures (e.g., buses, switches, routers)
  • I/O systems and protocols
  • Synchronization

E. High-performance architectures

  • Pipelining superscalar and out-of-order execution processors
  • Parallel and distributed architectures

III. THEORY AND MATHEMATICAL BACKGROUND — 40%

A. Algorithms and complexity

  • Exact and asymptotic analysis of specific algorithms
  • Algorithmic design techniques (e.g., greedy, dynamic programming, divide and conquer)
  • Upper and lower bounds on the complexity of specific problems
  • Computational complexity, including NP-completeness

B. Automata and language theory

  • Models of computation (finite automata, Turing machines)
  • Formal languages and grammars (regular and context-free)
  • Decidability

C. Discrete structures

  • Mathematical logic
  • Elementary combinatorics and graph theory
  • Discrete probability, recurrence relations and number theory

IV. OTHER TOPICS — 5%

Example areas include numerical analysis, artificial intelligence, computer graphics, cryptography, security and social issues.

Note: Students are assumed to have a mathematical background in the areas of calculus and linear algebra as applied to computer science.

Actuarial Career Path

  〈完全精算師手冊〉是一系列九篇的文章,由作者 arbitrageur (旅行的意義) 在2011年1月時發表在批踢踢的seniorhigh高中看板的討論區。全文以兩大核心「精算師的真實狀況」「如何成為精算師」貫串,直接地揭露了精算師這條路上的種種問題。小弟我也是在高中階段看到這系列文章的,在一個對未來抱持著憧憬的高中生的角度看來,許其說這是一篇「告訴你如何成為精算師」的文還不如說它真實的用意在「打消凡人想成為精算師的念頭」;但我覺得這系列文章的可貴性其實在於「告訴一個高中生或者是大學生,任何夢想都很棒,但你必須實務地去接觸相關的資訊,而不是憑印象、憑新聞、憑補習班或師長。」

  無論你想不想成為精算師,只要你是商學院或對商學有興趣的人,都看看這篇文;即使你是走其他領域的,你也看看精算師這個神話如何被扒開它那外人給予過分絢麗的衣裳。

  (以下是直接將九篇複製貼上+自行重新排版(第一篇~第五篇),如果想看原本的排版,直接拉到最底有各篇的連結。)

  最近精算師在各大媒體上越來越夯啦,什麼”最佳職業”、”高薪”之類謠言漫天, 不知道有多少高中生,因此就立志踏上了精算這條不歸路呢? 不論身為高中生的你將來到底要不要走精算,我只希望你能在充份的資訊下, 仔細思考再做決定。

完全精算師手冊(一)高薪和你沒有關係 

  大家對精算師最常有的誤會,通常來自於媒體片面引用的兩個調查報告:

1.美國最佳工作前十名:精算師 http://www.google.com/search?sourceid=chrome&ie=UTF-8&q=10+best+jobs+actuary 

2.勞委會公佈的 平均經常性薪資最高之前10個細職類 精算師 http://tinyurl.com/4scl58q 

  依勞委會的資料,台灣精算師的平均月薪有14~16萬元左右 (依年份不同,以下取中數15萬) 一年薪水加年終加考績加分紅算15個月好了,15*15=225萬,可是有三個問題: 

  1.如果這是真的,很高嗎? 

  2.這是真的嗎?或者說這個225萬是怎麼平均出來的? 

  3.業界目前的行情和未來展望到底是什麼? 

  1.225萬很高嗎?

     在美國,有十年經驗,並且通過所有考試的精算師,年薪可以有20萬美金以上, 也就是台幣600萬以上; http://www.dwsimpson.com/salary.html 在英國,可以到10萬英鎊以上,也就是台幣500萬以上; 注意:以上數字不含年資二十年以上,年薪台幣千萬以上的高階主管! 台灣”地區”的薪水只有別人的幾分之一而已。

  2.這個平均是怎麼算出來的? 

   就像台灣的國民平均所得是首富和22K一起加起來算一樣,同樣是精算師, 薪水也是有天壤之別。這個平均225萬,包含了已經擔任財務長、總經理、 董事長之類的高階主管,和剛考到精算師的小主管或是資深職員的薪水, 平均了領高薪global pay的香港”人”,和低薪local pay的台灣”人”, 高低之間的薪水差了不只十倍。就和 賣肝小律師 vs.數錢大法律事務所資深合夥人 爆肝小會計師 vs.數錢大會計師事務所合夥人 壞肝小主治醫師vs.數錢大醫院股東院長正教授 黑肝小工程師 vs.數錢大科技業上市公司大股東 之間的差別類似。 香港人和老闆和高階主管不是人人都有命當的,作為一種專業, 台灣精算基層人員和小主管的level能賺多少錢,對你來說才有代表意義。 

  3.台灣的行情到底在哪邊? 

            以初入行並考過試的精算人員,起薪(含考試加給)大約在月薪四萬元上下; 三到五年經驗的副精算師大約在七至九萬元左右, 五年經驗或以上的精算師大約在十至十二萬元;很高嗎?(年薪請乘以十五估計) 

            美國的部份,大學畢業沒讀碩士只通過一科精算考試的精算新人的年薪, 約六萬美金,也就是180萬台幣,也就是說美國的新人比台灣的精算師還值錢; http://tinyurl.com/nylactcomp 通過全部考試五年經驗的精算人員的薪水,大約是12萬美金,就360萬台幣 (note:紐約人壽在美國壽險公司精算人員的待遇算高水準, 但比之美國精算顧問公司或再保公司還是有差距, 再加上這是唯一一家完整公開精算人員待遇的公司,故以紐約人壽為代表) (note:以上與紐約人壽台灣公司local pay人員無關) 

            你會說,美國和台灣物價不同,薪水也不同,對不對? 那我告訴你,台灣有外商公司從國外找來的,只過兩科的外國籍初級精算人員, 月薪十三萬台幣再加駐外的房租機票補助,比考到精算師的台灣人薪水還要高, 台灣還有許多從香港來的精算師,二十幾歲就擔任經理職務, 薪水是global pay,再加駐外津貼(房租、機票之類的還有其他好康), 手下管四十幾歲的local pay台灣”人”,你有何感想? 

             更何況,台北的房子已經和紐約一樣貴了,比東京還貴, local pay台灣人負擔台北市房價,在台灣過勞顯然是世界上最悲慘命運之一。 而且隨著台灣人薪水不斷的被壓低,你現在開始走精算,入行可能只有三萬多, 以後考到精算師的時候,月薪可能只有台幣八到十萬, 精算這行C/P值好不好,有沒有其他的路,你真的要好好考慮。 畢竟以能考到精算師的資質,就讀其他理工科系也是佼佼者, 頂尖工程師的薪資分紅也是非常高的, 考慮到放棄科技業薪水分紅機會成本,精算師很可能不是你最好的選擇。

   對於精算界的待遇,你要一輩子牢記下列公式: 

   your pay=min(國籍、學歷、經歷、考試) 

   其中以國籍為首要。所謂的國籍,不是單純的指你是外國人, 而是指你的head account在職業生涯的早期是不是掛在global pay的位子; 如果你是美國公民讀台北美國學校然後哈佛大學書卷獎畢業,直接從台灣入行, 還是台幣四萬起跳, 反過來,如果你是台灣讀完大學畢業的,只要有辦法在美國就業, 之後轉回亞洲總部再回台灣,你在台灣一樣是global pay。

   我再講一次: your pay=min(國籍、學歷、經歷、考試) 所以 你絕對要、一定要、拼命要、想辦法在國外找到global pay精算工作。

 完全精算師手冊(二)想逃生卻走向死亡

  再看一下精算人員的合理薪資,你離擺脫奴隸身份奔向自由還有多遠?  

  在”完全精算師手冊(一)高薪和你沒有關係”中,我們講到一定要出國 不過很多精算人員走國外路線都是走假的, 他們假出國的辦法通常有三,最慘的還可能三合一:

  1.在沒有經驗的情況下,出國讀精算碩士 

   =>結果:最大的可能性是,找不到暑期intern只能回台灣找, 畢業半年後還是找不到國外的精算工作,花光錢回台灣找工作。 沒有精算經驗大學一畢業就去美國讀精算所, 能留在美國的比例實在太少了,任何一家國內的保險公司, 都有一卡車美國精算碩士回來上班。如果美國的失業率沒有顯著改善, 未來你還想要有這樣的美國夢,成真的機率只會越來越低。 

  2.進台灣地區的外商,覺得外制度好、福利佳、晉升快、學習多 

   =>結果:實質年所得不見得比在本土公司好,工作壓力大常加班,考試通過少, 數年覺得晉升不如意,而且因家庭、健康因素沒辦法繼續待外商, 轉往本土公司發展。 

  要是外商真的什麼都好的話, 怎麼會有外商表現不錯的高手還跑到本土公司呢? 

  3.尋求以最快的方式在台灣通過美國SOA精算考試,考到FSA精算師再走下一步。 

   =>結果:因為太突出被部門同事主管鬥爭黯然離職, 被抹黑考這麼快就是工作不認真,或是和同樣年資的同事相比薪水過高, 和薪水差不多的同事相比,年資和經驗較少。 孩子,別傻了,國內的精算界要的是十年經驗已經能擔任部門主管的FSA, FSA是年資夠老夠忠心老闆才會給你的恩賜;想考快一點,那就滾吧你, “公司付你錢不是找你來考試的!”  

完全精算師手冊(三)精算幽魂血海遺書 

~~撿拾著前輩們以鮮血寫下的遺書,小心翼翼地向前行 

  首先再複習一次精算人員的合理待遇,你離合理薪資福利還有多遠? 

http://www.dwsimpson.com/salary.html

  在”完全精算師手冊(二)想逃出生天,卻踏上死亡之路”中,我們說到, 許多精算人員依循的是三大死亡路線,我們來一一解剖鑑識死因。 

  1.在沒有經驗的情況下,出國讀精算碩士 

   原因其實都已經寫在標題裡了 死亡原因有二:1.沒有經驗, 2. 讀精算碩士, 

   (註: 我假設他們沒有綠卡)

   要知道不論找任何工作,幾乎都是有相關經驗者優先考慮。 面對同樣沒有全職工作經驗的新人,假設你是美國公司的老闆,你要:

   A.美國人,一升二暑假漢堡店打工知道賺錢辛苦,有天天被客戶和老闆狗幹經驗 

        二升三 “美國的”保險公司行政助理(相關產業) 

        三升四 “美國的”精算部實習生(相關產業相關工作) 

    外加美國公民,不需要花好幾千美金幫他申請H1B工作簽證, 英文是母語水準;     還是要 

   B.台灣人,暑假在補習GRE,托福,最多有”台灣的”工讀經驗; 需要申請H1B工作簽證,如果雇用夠久還要申請綠卡, 各種規費律師費幾千美金, 英文是”台灣人當中不錯”的水準? 

   讀精算碩士是另一個問題,因為精算碩士最好的出路, 就是美國有發展薪資福利佳的精算工作,而且精算碩士的教學內容, 就是精算考試FM, MLC, MFE, C的內容, 也就是說讀精算碩士不能帶給公司精算考試的內容”以外的附加價值”。 

   此時在精算碩士中公司要怎麼選才呢? 先選美國公民C咖,再選有綠卡在國外長大的B咖, 最後才輪到沒有身份的外國人A咖, 讀精算碩士的最大挑戰,就是在失業率高職缺少時沒辦法和美國同學搶工作。 

   也許你會說:我是正妹,有加分! 很抱歉,在下我在台灣就常常看到國外精算碩士正妹來面試。Why? 道理很簡單,你覺得美國人比較喜歡 東亞正妹, 還是 東歐正妹? 

   還沒講解法:要走出這個死局很簡單,就是 

     A.大學畢業後先在台灣工作兩年,有機會的話順便拿個ASA副精算師(但不必要), 之後去美國的時候,你是用兩年全職經驗和人家僅僅是暑期工讀經驗的人競爭, 再加上有經驗就能尋求head hunter的幫助, 比之僅能依賴學校career service的美國大學生來說,外掛開超大。 

      而且找工作本身也需要經驗,寫美化但不造假的履歷,說漂亮話迷惑人資和主管, 能在台灣先練個經驗當然是最好,去外國才不會”同時”面臨國籍文化種族不同、 語言非母語、學校職場環境轉換的三重衝擊,沒同時把握好而找不到工作。 

      你問:啊有兩年經驗的美國人呢?我答:他們當然會找需要兩年美國年資的工作, 薪資比你要求的水準高許多,不會和你來搶entry-level的工作。 

     B.不要讀精算碩士。因為你在台灣早就把SOA精算考試MLC, MFE, C考完了, 讀精算碩士對你來說除了浪費錢之外,不能提供公司考試以外的附加價值。 

      要讀什麼?當然不是MBA啦。你讀完MBA,很有可能還是得回台找工作, 一樣浪費幾百萬。美國人,不需要外國人MBA去打嘴炮。 

      美國最需要的外國人,就是紮實理工人才,美國移民局並且有 Science, Technology, Engineering, and Mathematics (STEM)科系列表, http://www.ice.gov/sevis/stemlist.htm 畢業後在拿到H1B工作簽證之前可以有29個月停留美國的時間,而像MBA之類的, 只有12個月。

      這是反應美國最需要哪種外國人才的最佳指標。 再加上你如果讀博士班的話,光是學生簽證就可以留在美國五年, 雇用你intern的公司,也不會馬上面臨要不要幫你辦H1B的問題。

      所以必殺技就是: 去美國讀非精算理工全獎博士班,博班資格考考完之後找一學期的業界工讀, 之後進可攻,退可守,找到工作的話可以簽碩士走人, 或是和公司與學校老闆談,做比較偏實務的研究取得博士學位順便累積經驗。 重點是:讀博班完全免費,還付你生活費!整個是三個願望,一次滿足 

      當中奧妙你把下面這EMPShockwave前輩的傑作參透便知! http://www.ptt.cc/bbs/studyabroad/M.1245213755.A.C0E.html 

   2.進台灣地區的外商,覺得外制度好、福利佳、晉升快、學習多 對誰而言? 對外商,你只要永遠記得一點就好了:

    台灣的外商,就是 以無數台灣精算奴血汗,成就一代代香港精算師無上光榮的地方     如果你對外商有任何的幻想,你只要想想:在台灣加入鴻海外派大陸是台幹, 在大陸以民工身份加入鴻海,要多久才能爬到台灣派駐小主管的位子? 

    在外商,只要你是香港來的,B咖30歲可以當經理,A咖30歲是協理, A咖又lucky的話30歲當到副總也有很多例子, 如果你是S咖但是是台灣人,不幸爸爸不是董事長/總經理/高階主管, 想要在外商30歲就當經理,投胎還比較快。 

    台灣人S咖不如香港B咖,就是台灣外商的真實景象。 解決方法也很簡單,你一定要在大外商保險集團的宗主國, 如美國、英國、德國、加拿大、瑞士等地,在當地找到global pay的工作, 之後以總公司人馬身份再派駐亞洲總部或各國分公司。 

    大家千萬別小看台灣人的勤奮聰明,有一段時間瑞士再保險的亞洲區總精算師, 就是北一女畢業的。 

   3.尋求以最快的方式在台灣通過美國SOA精算考試,考到FSA精算師再走下一步。 這有兩個問題,第一個是你考不到,第二個是你考到了也沒有用。 

     A.為什麼你考不到 台灣精算界的基本邏輯就是:只要是台灣人,年青有為就是該死, 只有香港人才能是年輕的FSA領高薪擔重任。 

      自己考試不多的可能連ASA都不是,甚至連台灣精算考試都沒考完的台灣主管, 碰到想考快一點的熱血青年,就會說: 「你才幾年經驗這樣薪水已經很高了,再考下去對你的career不是加分 反而是扣分,因為公司不會hire一個薪水這麼高工作經驗年數卻比較少的人, (他完全忽略了普通人才十年經驗只等於傑出人才三年經驗的可能性。) 你看xxx有十年實務經驗,如果公司只能選擇你們兩個之一,一定選他。 (意思就是再考公司可能就會fire你)」 

      如果你真的還是要考的話,他就會先縱容同事耳語中傷謠言, 「這個人都在考試沒在做事」,然後再看起來像是為了維持部門和諧, 故意在考試前丟一大堆工作給你,並且說做完了才能請假準備考試。 “我沒有說你不能考喔,來上班當然是工作優先。” 啊本來一週就有四十五小時的工作了,因為要考試工作增加到五十二小時, 分四天做完,每天做十三小時,假還是有給你放一天喔,要感恩啊。 這樣是不只是無效溫書假,而且是有害溫書假了,每週工時不減反增七小時, 請假反而造成每週工作時間的增加和讀書時間的減少。 提升工作效率?別傻了,提升工作效率20%就像跑三千公尺從十五分鐘減到 十二分鐘一樣,不是隨便就能達到的,而且跑得快不是會比較累嗎? 提升工作效率一樣會造成回家需要更長時間的休息調養, 和減少你可以有精力高效率讀書的時間, 還有可能因為免疫力下降而生病,台灣精算人員健康差免疫力低下的很多, 為了local pay葬送健康生命,不值,真的不值。 

      反正只要技術性阻礙你考試,主管就成功達到部門表面合諧的目標了。 而反過頭來台灣主管對考得慢的資深同事xxx講的話,就變成是: 「非常感謝你多年來對公司的付出,可是因為你考試比較少的關係, 依制度公司沒辦法晉升你和給你太多加薪, 想要薪水高一點的話還是學那個ooo一樣多考點試。 公司的制度就是這樣,沒辦法。」 

      藉由考得快的資淺同事和考得慢的資深同事之間的 互 相 牽 制 拖 累 鬥 爭, 以達到壓低基層精算人員薪資的目標,並同時最大化公司高層的分紅年終, 就是台灣精算界的標準管理手段。不論是資淺還是資深非主管精算人員, 都只是這些權謀下的犧牲品而已,能破解這種管理手段的方式也很簡單, 就是資深人員教資淺人員工作實務,考得快的人教考得慢的人考試, 大家一起把身價抬上去。

      可惜的是目前在業有看到的這種合作還不多, 我衷心希望業界能有越來越多的人能合作破解慣老闆的低薪陰謀。 而這個操盤衝突式管理的台灣主管,在面對比自己小十歲香港人FSA大主管的時候, 當然是另一張陪笑的臉,極盡諂媚服從之事,就算有什麼不滿也只能敢怒不敢言。

~~~~~~~~謎之聲系列之:台灣精算主管的真心話~~~~~~~~

主管:「我跟你說啦,公司需要的是三十五至四十歲的FSA精算師部門主管,還有三十至三十五歲的ASA副精算師科主管,你考這麼快,不好啦。」

你說:「可是現在世界潮流和精算學會SOA的政策就是希望大家考快一點啊,你看現在美國人,香港人,大陸人都越考越快,以後ECFAMOU 我們這些小卒又還不像你們這些老頭位子都卡好了,到時候要怎麼和外來精算人才競爭?是要準備兩岸統合後我就去喝西北風嗎?」 

主管:「他們是外國人,不是台灣人啊。這裡是台灣,不是國外,你在這家公司就是要配合公司政策,公司才會提拔你呀!」 

你問:「喔,那請問,如果你的小孩也要走精算的話,你會怎麼栽培他?」 

主管:「那當然是送出國,二十幾歲就考到FSA,然後派回亞洲當中階主管,再回台當高階主管,到時還要請你再多多服務喔。」 

你怒:「你是說,我這幾年當你奴才還不夠,以後老了還要再侍奉你小孩嗎?」 

主管:「沒事、沒事,消音、消音,合諧、合諧;哈哈哈哈~~~~

~~~~~~~~有沒有香港人考得快來台灣就受祝福當副總,台灣人就受詛咒的八卦? 

  話說全世界最年輕的FSA就是台灣長大的林遠安,http://tinyurl.com/4qqo43h 

  台灣人的資質一向不輸給世上任何人啊,只要擺脫台灣精算界的無情枷鎖, 考個FSA對台灣人而言,一點都不是問題。 

   B.至於為什麼說考到了也沒有用呢? 

    主要的問題點在台灣精算經驗並不被亞洲區乃至於全球以一年比一年的方式承認。 美國、英國的經驗會被全球認可,亞洲加碼認可,台灣膜拜認可,反之不然, 如果ASA之前的台灣經驗出國會被打六折的話, 那ASA之後的經驗會被打四折,FSA後的經驗會被打兩折。 

    可是如果你去美國已經是FSA的話,適合FSA的工作遠比適合ASA的工作機會要少, 因為金字塔越高階位置越少,你找工作更難, 而且美國人也不需要你只有台灣經驗的FSA。 也就是說,你在台灣考FSA,其實會阻斷你在美國成功就業領global pay的道路。 

    你可以把台灣ASA想成土碩,美國ASA想成洋碩, 台灣的FSA想成土博,美國FSA想成洋博。 土碩洋碩有差但還不會差很多,一樣可以申請洋博 土博和洋博在目前的市場上就天差地遠了。

    土博的人生,上乘是靈界大學(可能會退場關門被併的那些),下乘是失業救濟; 

    洋博的人生,上乘是美國常春藤大學, 回來台灣還有中研院或國立大學,下乘是私立大學。 

    瞭了唄?

完全精算師手冊(四)精算師到底在幹麻? 

  你今天global pay了嗎? DW Simpson等你喔! http://www.dwsimpson.com/salary.html 

  今天我們來介紹一下精算師到底在幹麻吧? 

  首先是wiki的介紹 http://en.wikipedia.org/wiki/Actuary 都英文?對啊,你要當global pay精算師,SOA精算考試也都是英文, 會看英文是你想領global pay所需的基本能力。 

  好啦,中文的也有 http://zh.wikipedia.org/zh-tw/%E7%B2%BE%E7%AE%97%E5%B8%AB 不過有些地方翻譯的不是很好,等英文好了點還是要搭配原文。 

  我想關於精算師到底是做什麼的,用一句話來講,就是分析未來的風險值多少錢的人 底下我們可以分幾方面來談。

  第一個是專業類別,當中又分成traditional傳統領域或non-traditional非傳統領域   

  traditional的有 產險 壽險 退休金 健康(醫療)險/團險 投資 

  non-traditional的有 投資學 風險管理 其他專業類 

  其中產險有專門的產險精算師學會CAS, http://www.casact.org/ 其正會員簡稱為FCAS,副會員簡稱為ACAS 

  而壽險、退休金、健康險/團險、投資學、風險管理則屬於精算學會SOA的專門 http://www.soa.org/ 其正會員簡稱為FSA,副會員簡稱為ASA。依據精算學會最新的規定,不論正副會員都算是精算師。 

  就工作所在的產業而言, 分成:

  保險公司,一般的壽險、產險公司都算 

  再保公司,就是向保險公司收保費,幫保險公司保險的公司, 也就是保險公司的保險公司 

  精算顧問公司,專門承接各種精算專案的公司,依服務收取費用的公司 

  精算顧問公司vs.一般保險公司的精算部門,就類似 法律事務所 vs.一般公司的法務部門 會計事務所 vs.一般公司的會計部門 其他金融業(銀行、投信等等) 其他非金融業(算職棒球員的表現的啦,分析交通問題的啦,算彩券的啦,很多) 等等,有興趣可以自己研究。

  我想特別強調的有幾點: 第一個是今天的非傳統,走在時代尖端的工作,可能就是明天的例行性工作; 今天的例行性工作,以後就有可能是精算師被電腦取代的工作 所以你應該要培養成為非傳統精算師的能力,仔細研究精算pioneers的故事, 才不會把目標訂在過時的典範,學習這世界即將不再需要的能力。 

  注意!你該累積的是未來精算師所需的競爭力,不是過去精算師所需的競爭力。 

  第二個是就傳統三大雇主保險、再保、顧問的部份, 保險公司精算人員的需求基本上已經停止成長, 未來絕大多數需要創意、思考的高薪精算研發工作, 會越來越集中到再保公司和精算顧問公司。

  商品訂價pricing/經驗統計experience study的核心在再保公司, 公司價值評估valuation/資產負債管理ALM的核心則在顧問公司; 

  一般保險公司的精算相關部門,則是做一些低薪低價值的精算行政工作, 而且保險公司相關的精算主管,也會大部份都找具有尖端精算經驗, 有紮實再保公司和顧問公司經驗的精算師出任, 一般保險公司裡沒有顧問或再保公司背景的精算人員, 晉升機會會變得相當緩慢有限。 

  就像現在一般公司的會計、法務經理很多都是從會計事務所, 律師事務所挖角而來,而不是公司內部晉升的一樣。 

  此外,根據美國勞工部的調查報告,未來絕大多數的精算師需求, 會來自於非保險業比方說顧問公司或銀行、投信; 保險公司精算人員需求將飽和接近零成長。

http://www.bls.gov/oco/ocos041.htm

  所以你必須要把顧問公司和再保公司的歷練, 放入你精算師生涯規劃的重點必經歷程。 

  最後則是computer science的重要。

  有很多人會告訴你,包括你今天在精算學會網頁可以找到的資料, 都在說精算不是在寫程式,不用會C++, JAVA,只要會拉拉excel, 會寫簡單的VBA和跑跑資料庫SQL程式就好了, 再加上會操作精算軟體就行了, “精算最重要的就是精算觀念,精算又不是在寫程式!?” 

  如果你”確定”能一輩子安安穩穩的做傳統精算行政工作都不可能被裁員的話, 那上面講的都是真的。 

  如果你要成為完全精算師,那電腦能力不重要這件事,大錯特錯不要聽。

  精算不是在寫程式,所以computer science不重要這種妖言,有幾個問題: 

   第一,你所要做的精算工作所需的軟體功能,如果不能用Office簡單達到, 那用精算軟體就好了? 問題是,非傳統新領域的精算工作,哪有可能有已經寫好的, 泛用的精算軟體模組?你當然必須要有足夠的軟體開發能力, 在探索新領域的時候才可以自己寫些程式試一試。 如果有市場的話,就可以把寫的程式商業化, 以天價賣給保險公司精算部,狂撈、狠撈、拼命撈, 這是具有足夠軟體開發能力的精算師才能享有的特權。 

   第二、身為精算人員,你所做的一切都是不被專利權和著作權保護的, 也就是說任何其他人都可以輕易剽竊你的創意。 如果你把你的精算創意,封裝到程式軟體裡,那就沒人可以偷得走了。 法律會保障你的智慧財產權,其他人如果需要你的創意, 那就準備捧著白花花銀子付權利金給你吧! 

   第三、因為有很多美國人也相信這種妖言, 所以軟體開發能力很強的精算人員是非常稀少的, 軟體開發能力強,可以大大增加你成功在美國找到工作的機會。 前面提到的是美國需要的是外國人能幹活精算師, 嘴炮美國人自己負責就行了。 在面臨經濟不景氣的時候(這在未來你一定會遇到), 具有IT能力的精算師也比較不容易被裁員。 要是你還沒拿到身份就被裁掉了,就沒辦法再進入美國,不可不慎! 

   在學業面,軟體開發能力強的人,在除了資訊工程系以外 各研究所的研究室也是老師的好幫手,大大增加你申請到 博班和順利做研究的機率。(在資工所人人都強所以不是特別優勢)。 

   所以,要成為一個不受限制的完全精算師,你的電腦能力至少要有 資訊系輔系的水準和sGRE in Computer Science考試範圍的程度, http://www.ets.org/gre/subject/about/content/computer_science 最好能學會離散數學,資料結構與演算法,計算機組織與結構, 作業系統和系統程式……等資訊系大學部的核心課程。 

  最後,來看看精算師的小傳 傳統精算師 http://www.beanactuary.org/onthejob/day.cfm http://www.beanactuary.org/onthejob/ask/ 非傳統精算大師(必看!) http://tinyurl.com/pioneeractuaries 細細研讀幾篇精算界的開創者的故事, 看他們怎麼從一開始小咖到開創非凡的精算人生, 應該可以給你不少啟發。 

完全精算師手冊(五)打造完美大學生活

  你該效法怎樣的精算大師?http://tinyurl.com/pioneeractuaries

  你該賺多少錢?          http://www.dwsimpson.com/salary.html

  複習一下,要成為不受香港人宰制的global pay完全精算師,我們需要經由台灣全職經驗和美國STEM理工全獎博士班進入美國精算界,因此,你需要好好規劃你的大學生活,為找到台灣工作和申請上美國STEM全獎博士班做好準備。

  在此之前,我們需要一些預備知識,就是精算考試的內容是什麼?

~~~~~~~~預備知識開始精算考試考什麼~~~~~~~~

目前精算考試的內容如下:

SOA美國精算學會

http://www.soa.org/education/exam-req/edu-fsa-req.aspx

CAS美國產險精算學會

http://www.casact.org/admissions/syllabus/

其中比較重要的共同科目有(括弧內是對應的課程名稱)

Exam   P/1 –Probability

             (需要先修過微積分才能修的機率導論、數理統計上或高等統計上)

Exam  FM/2 –Financial Mathematics

Exam MFE/3F–Actuarial Models–Financial Economics Segment

             (大學部的期貨與選擇權,或衍生性金融商品)

Exam   C/4 –Construction and Evaluation of Actuarial Models

             (研究所的貝氏統計學、存活分析、統計模擬數值方法、可信度理論)

VEE Economics

     (大學部整年共計六學分以上的經濟學、經濟學原理,

或一學期以上個體經濟學加一學期以上總體經濟學)

VEE Corporate Finance

     (大學部投資學及財務管理共兩門,或研究所財務管理)

VEE Applied Statistics

     (大學或研究所的迴歸分析或計量分析,加大學或研究所時間序列分析)

VEE 原始的設計是希望這些由大學教育比較合適的科目,用修課成績抵免;

但也接受用其他方式認證,比方說考CFA Level 1, 2可抵全部VEE

http://www.soa.org/education/exam-req/resources/edu-vee-approved-courses.aspx

另外有兩科考試內容也有一定程度關連,分別是

SOA

Exam FETE  –Financial Economic Theory & Engineering Exam

研究所的期貨與選擇權或衍生性金融商品,加研究所的財務理論

CAS

Exam 9     –Financial Risk and Rate of Return

主要是研究所投資學加研究所財務理論

其他精算考試的內容可以自行參考CASSOA的網頁

http://www.soa.org/education/exam-req/edu-fsa-req.aspx

http://www.casact.org/admissions/syllabus/

~~~~~~~~預備知識結束精算考試考什麼~~~~~~~~

  OK, 我們來分析一下你在大學時期的目標,最最最最最重要的:

  Have FUN! Not only entertainment but PLEASURE

  精算師給人的刻板印象俗稱number cruncher(嚼數字的人),並不是太好,連黑天鵝效應這本書裡虛擬的呆板不知變通角色的職業,也是精算師

http://findbook.tw/book/9789862130568/basic

  Happy才是人生的目標,精算或是任何職業只是手段而已。

  你去找以下三部電影,看了你就有FU了。

扭轉奇蹟(The Family Man)

http://tinyurl.com/48gqopy

美好的一年(A Good Year)

http://tinyurl.com/48s2pfm

享受吧! 一個人的旅行(Eat, Pray, Love)

http://tinyurl.com/4zvuboz

  簡單說大學最重要的就是吃喝玩樂談情說愛和戀人享受無所事事的美好;

這裡面可以引申出一點,有機會的話要去好玩的地方交換學生好好玩。

  玩樂之餘呢,考慮到去美國讀STEM全獎博士班,你需要:

     拿到三封教授給的強有力推薦信。所以最好大三開始就進實驗室跟老師做研究,並且多修小組討論或有大報告,你有明確發言、報告產出,能讓老師對你有印象的課。

     把該有的數學和CS基礎打好:

        把GRE Subject Math和

http://www.ets.org/gre/subject/about/content/mathematics

        GRE Subject Computer Science

http://www.ets.org/gre/subject/about/content/computer_science

        考試cover的相關科目能修多少就修多少

     考過GRE General到夠好的程度;考托福iBT到聽25說25讀25寫25,或雅思IELTS聽7說7讀7寫7。

  在大量選修高深數理課程的同時,還保持GPA 3.2以上,

  而你應該避免:

     1.為了GPA 4.0修一堆簡單課還花很多時間搞得很累,小學平均100分不代表你有讀博士班的條件。大一二課90分不如大三四課80分不如碩博班課70分更能證明你有博班能力。

     你修廢課才高分,國外教授一看成績單就知道。

     2.想考超好的GRE而犧牲其他更重要的事。GRE過門檻就好(GPA也是),推薦信和研究經驗才是最重要的

        3.硬是要完成輔系、學程或雙主修。輔系雙修或是學程有點像套餐,比較像不會點菜的人才需要的,不過現在你有了我這份美食指南,自己單點搭配更加享受。每個系的課自己挑重點上就好了,但這不代表不應該申請輔系雙修學程;如果有輔系雙修學程身份會使你更容易選到你想選的非本系課程,那就申請吧。

  為了找到精算工作,你需要:

  考過夠多的精算考試,但不要考太多;P, FM, MFE, MLC, C當中三到五科是最理想的,千萬別弄FAP。要知道當你算出考SOA不如考ETS的價值高時候,就表示你對於精算原理已經融會貫通了。

  有工讀經驗有加分,但若找不到好工讀也不勉強。

  有足夠CS能力,業界到今天為止還是狂缺精算CS雙專長的高手啊,就等你了!

  你不需要修名稱和精算考試科目相關,但內容深度不夠的課

        ~~~~~~~~八卦:某校系的壽險精算數學,不需要先修機率導論和財務數學,那上這門課到底能學什麼?

      而要成為完全精算師,抵免VEE的唯一方法應該選擇考CFA,在學校花十八學分的成本去修VEE課程要浪費太多時間,修18學分VEE認證課程,不如修12學分研究所的統計和財務金融理論,對你考到FSA更有幫助。

  也不需讀精算相關科系。精算是一條很窄的不歸路路,在選擇科系的時候要考慮以後興趣可能會變,不想走精算了。為了保持前途彈性,所以最好選需求寬廣畢業生出路多樣的科系。

  依我的觀點,除了Warwick MORSE和Imperial Actuarial Finance之外,地球上所有精算相關系所的課程編排全部都是無效率的,不如選數學系、資訊系或其他理工科系。

  為什麼讀精算科系沒有特別優勢?

  精算系的課程設計,是在追隨精算學會”過去””前幾科”考試的內容;設計的邏輯,就是精算考試前幾科考什麼,學校就排什麼課程,但即使課名相同,老師和教材經常都沒有跟上SOA的最新版本,也沒有達到足夠的深度廣度,或是要求結果到了要考精算考試的時候,還得有七成要重唸。也就是說,讀精算系對你考精算而且的幫助並沒有你想像中得大。

  另外精算這門學問,畢竟還是一門專門的應用數學和應用統計再混上財務的雜學,理論統計、一般數學底子好的人,考精算考試,經常比精算系的更有優勢。

  我舉個例子。比方說Exam C可能一般完全沒背景的人準備需要400個小時;直接修過精算系的損失模型、和可信度理論的人,準備通常都還要300小時;而修過數學系高等微積分和研究所高等統計推論的人,準備只需要150小時。基本功好,學任何東西都舉一反三事半功倍。

  屬於精算考試的專屬知識,美國補習班有各種專門為了精算考試而編寫的教材,study manuals可以用最有效率的方式,台灣都可以郵購,而數學、統計、財務、資訊的基本功,你才需要在學校打得深厚,不要本末倒置。

  外加很多開給外系上的課通常老師都會預設”你不是本科系,隨便教教就好了”,於是開給精算系的一般數學、統計理論、經濟、財務都很有可能放水變調,沒上到精髓,通通變成半吊子–

     精算用普通數學是放水數學

     精算用經濟好像不太經濟,

     精算用統計不只統統忘記,etc.

  要學到精華,還是要到每個學門的本科系修課。

  BTW,  台清交成這些傳統國立理工強校都沒有精算系。有些公司迷信國立大學的還不愛收東吳財精和逢甲統精這兩個傳統科班生。

~~~~~~~~總之大學不用讀精算系做精算一樣嚇嚇叫~~~~~~~~

  再說大家考不到精算師,並不是前幾科考不過,而是最後的大科考不過。你在選課的時候,最重要的是打好最後幾個大科(SOA FETE, CAS 9)的基礎,而不是在前面的小科和VEE下功夫。欲知詳情,請待下回分解。

 總之,選志願,修課要考慮的是

      出國的必要條件、

      對精算考試最後的難關有幫助的課

      就業需要的條件

      不需要讀精算系,

      不要把重點放在精算考試前幾科的內容。

      不要管VEE。

完全精算師手冊(六)雲舞璀璨四年盛宴

http://tinyurl.com/pioneeractuaries   見賢思齊

http://www.dwsimpson.com/salary.html  合理薪水

現在我們要開始依序說明大學該怎麼混…(大誤)

本來想逆時間順序由後往前寫的,順便告訴你們我是怎麼想這些問題的,

但我想了想還是依時間順序寫好了,比較清楚,

不過你要知道我這些內容,是從終點往起點推的,

你在思考問題的時候,也可以參考這種作法,就是先想目標,再想達成目標的條件,

再想達成(目標的條件)的條件,依此類推,最後才想第一步。

高中

    你高中happy了嗎?

高中只有兩個重點,第一個是選自然組,

第二個是萬一你是數理資優生的話,不要強求奧林匹亞得牌。要知道奧林匹亞

號稱是高中學問解決所有問題,其實只是高中學問,經過tricky的解題步驟,

剛好可以解決研究所問題當中的某個特例。

但高中知識當然不可能真的解決所有問題,

不然讀大學和研究所幹麻?只為了證明高中學的有很多應用?

與其有時間耗在奧林匹亞上,不如先去附近大學修大一的課。

高中就要開始想同樣的時間,花在

A(奧林匹亞式解題技巧) vs. B(真正大學基礎課),

有更高的價值。

當然如果你覺得和一群朋友搞奧林匹亞很有趣,do it!

選志願

    考完你happy了嗎?

精算是條很窄的不歸路,選志願要綜合考慮

以後可能既”不”走精算,又”不”走本科系,畢業必修必選學分夠少選課自由越好,

    所以(應用)數學系和資訊系最佳,其他大量使用數學的理學院科系其次,

    工學院一般課都太多了。

廢課越少越好,

    數學系、資訊系、物理系都不錯,商管學院最不好

還有本系生修外系的課很容易,外系生修本系課不容易

    商學院最好,理工學院不好

結論就是  數學系、資訊系、財金系最好,物理系也不錯

          風管系、精算系、統計系就沒有特別優勢

note: 統計和數學是完全不一樣的東西,大學讀數學研究所讀統計很順,

反過來大學讀統計研究所讀數學就苦多了,所以大學讀數學,之後路才廣。

當然還是要看你的分數,經加權後可以到什麼科系而定,綜合考慮。

比方說,你可能理工科只能填到一百志願,商科可以填到五十志願,

此時選必修少的商科不見得不好,比方說政大商院的必修都很少。

就可以考慮選讀。

大學的參考排程如下,視你的狀況調前或延後,

我先假設你選的既不是資訊也不是數學系,大一大二選修課的空間不多

大一

    大一你happy了嗎?

大一要做的事情有幾樣:

    理工學院版本的微積分

    練習英文說寫

    學好日文或德文

    研究大學部交換學生的機會

    研究托福或IELTS資訊

為何學日文

猜猜看,哪個國家是世界第二大的保險市場,但卻有著數量比台灣還少的

    世界三大精算學會:英國、美國、澳洲精算師

猜猜看,美國不算的七大工業國,那個最哈美,願意為美國經驗付出最高價格?

    連傳統第一志願的醫師都要在美國功成名就才是實力最受肯定,

    本國最好的醫師都要去美國受訓才能更上層樓,

    何況是精算師?

猜猜看,東亞哪國和中、韓世仇,但卻和台灣交好?

猜猜看,哪個國家的人口老化情形最嚴重,當地的年青人還不流行出國留學,

    進大公司的人,也非常討厭外派,最大的心願就是到死都要留在本國,

    當地不論是外商或本地商,都急需有歐美先進國家精算經驗,懂中文,

    又了解他們國家語言文化的外來精算大師?

猜猜看,哪個國家是米其林指南中的超級美食大國?

猜猜看,哪個國家的語文大量使用漢字,對懂繁體中文的人來說特別好學?

猜猜看,哪國首都飛台北三個多小時就到,方便你照顧年老父母看健保?

答案都是日本。

做精算你要有個基本的sense,你對於人口組成的變化,

一定要有超越投資人員的敏感度。依目前日本人口老化的速度,

等你在美國成為獨當一面的精算師,準備回亞洲發展的時候,

日本會已經沒有足夠的本國人才,可以支撐他的金融保險業向全世界發展,

到時日本除了高薪聘請海外FSA/FCAS之外,別無他法。而日本的最佳選擇,

當然就是和日本有歷史文化關係的,台灣出身,了解歐美經驗移殖東亞會有

什麼排斥問題,已經有解決經驗的,也在海外學到最先進精算技術的台籍精算師。

東京聘請海外人才的薪水是非常非常高的,我估計到你學成的時候,

日本給五年經驗左右的FSA薪水會到一千五百萬日幣以上,

如果是十五年經驗以上的FSA主管,可以到三千萬日幣以上。

而身為有台、美經驗,通英、日文的你,在應徵歐美外商在日本分公司,

或是日商當中的外商(工作環境)部門/子公司的時候,會是不二人選。

除了經歷,還有信得過,信不過的問題。你想日本人信賴

    仇日中國人,

    仇日韓國人,

        還是台灣人?

總之如果你決定學日文的話,就要學到日檢一級的程度。

為何學德文

德國和法國同為歐陸的中心,不過這兩家感情不是很好,一直打仗到二十世紀,

但是法國是最不鳥外國語文學歷證照的國家之一,你拿美國FSA去也沒用,

法國也是歐洲國家最親中的。

反國來,德國除了是歐洲最強大的國家之外,

不論是對台、對英文、對FSA的立場都務實得多。

德國和瑞士的德語區更是世界幾大保險、再保險集團的總部所在,

保括蘇黎士金融集團、安聯集團、慕尼黑再保、瑞士再保、漢諾威再保等,

你學好德文,對於以後有可能去德語區交換學生、留學、出差、進修、就業

碰到德國、瑞士籍主管好溝通等等都有很大幫助。

note: 德國人普遍英文不錯,所以你德文只要學到會哈啦就行,

不需要學到像日文一級那麼好。

德語學習

德語檢定

德意志風情

大一就研究交換學生機會

    因為有很多交換學生截止日非常早,比方說你大三上學期才要出去,

    可能大二的九月就截止了,之前你還要考語文考試,準備申請資料,

    所以你大一就要研究要去哪裡交換,和什麼時候要申請,審查標準是啥。

    也就是如果你打算大三就交換的話,可能大一就要準備托福或IELTS,

    或其他語文測驗。這樣才來得及大二上一開始就申請。

    選校的標準,就是選你留學會去的英美名校以外的學校,既然遲早要去英美,

    我強烈建議選一個非英語系國家,好玩的地方,多多體驗外國文化。

    歐陸各國強力推薦!

大二

    大二你黑皮了沒?

大二你需要

理工科系線性代數

程式設計

資料結構

繼續學德、日文

註冊登入研究所申請系統

開始思考找尋研究機會

找暑期工讀

理工科系線性代數

    有一本特別特別的好書

    是現在美國長春藤名校最流行的線代與多變量微積分優的教材,

    可以幫你打好高微基礎。

程式設計

    在學C或是Java之前,建議先以簡單又強大的Python打好程式基礎

資料結構

    IT能力的重要性之前已經強調過了,未來三年都要持續加強。

    (註:有的學校資料結構是和演算法入門或程式設計進階合成一門課)

繼續學德、日文

註冊登入研究所申請系統

    我講的某些東西,比方說研究經驗重要,高深數理課程重要,

    你到現在可能還是不肯相信,繼續堅持你的高GPA輔系簡單課營養學分路線。

    沒關係,你先註冊幾家你心目中的夢幻學校申請系統試試,比方說什麼

    哈佛耶魯普林斯頓MIT史丹佛之類的,全部給他登入進去看看要填什麼表格

    我這邊幫你導覽一下,申請系統中會問你的關鍵問題:

    一、曾修過的本科系(指你要申請的科系,不是你現在就讀的科系,

    比方說如果你是財金系卻申請資訊工程所的話,要填資工的)課程,

    其課名、程度與成績。

        此時能列出研究所的課就表示你很強,要是只能列是大三四的

        重課就普通,如果只有大一二的課就遜掉了。

    二、曾修過的相關課程成績,一般理工學院的會要你列出數理化和資訊的課,

    但不包含第一點的本科系課程。

        如果你有修過研究所的實變實分析、機率論或高等統計推論就超強,

        不然的話有修代數導論高等微積分的,又比只修過微積分線代工數的強。

    三、學術著作

        你有期刊或研討會論文嗎?

    四、推薦信

        你要有紮實的研究經驗才能得到老師的大力推薦,

        不然也要修高深的課表現良好才能讓老師對你的聰明有印象。

        修簡單的課成績很高不代表什麼,老師也完全沒辦法替你背書。

    五、你和想要申請的研究所裡面的哪些教授聯絡過,

        表達你希望和他做研究的的意願,他也給你正面回應?

        要是沒有一定的研究經驗言之有物才寫信,人家大牌教授哪會理你?

    不要只聽我說,自己登入任何一家學校試一試,眼見為憑,

    看你有哪些條件還欠缺,至少還有兩年可以補齊!!

    (Note: 以上每年九月到十一月才會開放)

    除此之外,還要上PTT studyabroad版搜集留學資訊。

    申請結果很理想或差強人意的學長姊經驗都要看,從中比較出異同,

    以後自己申請時才能以別人的經驗為師。

開始思考找尋研究機會

    大二上就要開始找看哪些老師願意收大學生做研究,看看他們需要怎樣的人,

    自己對老師的研究方向有沒有興趣,自己還差哪些條件,多問幾個老師

    然後還有時間好好加強。

找暑期工讀

    大二上學期的時候就要開始注意暑期工讀的機會,

    看看業界需要怎樣的人才,沒有非常理想的精算工作,

    甚至沒有錄取也沒關係,把求職經驗整理起來,

    對以後要找工讀或正職都非常有幫助。

    如果有普普還OK的工讀機會,又覺得沒有其他更有價值的事的話,不妨做做。

另外如果你打算大四交換學生的話,大二就要準備。(見”大一”段說明)

大三

    大三你有爽到嗎?

大三你需要修以下課程,

    高等微積分

    機率導論or數理統計學or高等統計學

    演算法

    系統程式

    作業系統

還有:

    李錫錕一整年共六學分政治學

    跟老師做研究

    Exam 2/FM

    Exam 1/P

    找暑期工讀

李錫錕一整年共六學分政治學

    要擺脫被奴役的命運,自在生活在天地間,你需要身為主人的學問,

    要掙脫香港精算買辦世世代代對台灣精算心靈的壓迫,

    要了解香港買辦所侍奉數百年至今的主人,Anglo-American

    如何以其will to power影響香港至今,

        你需要學習李錫錕一整年的政治學。

跟老師做研究

    大三開始你就該跟著老師做研究啦,大三大四間至少要做滿一年。

    有時候會發現和一開始跟的老師研究興趣或style不合,

    還要再找其他學門、老師、主題,越早開始有越長的調適時間。

Exam 2/FM

    終算到了你的第一科精算考試了,準備考試你需要幾項資源

    第一個,是計算機,有兩台

        第一台是TI BA2 或是 BA2 Plus,在考這一科Exam FM,

        需要算年金現值的科目,還有以後考CFA各Level時會用到。

        第二台是TI-30XS MultiView,可以輸入整行算式,答案在不同列,

        在做所有複雜的科學計算比較好用

        兩台都要買,兩台功能都要熟,要知道碰到什麼題目該帶哪台。

    第二個資源,是線上討論區

        Actuarial Outpost(簡稱AO)是世界上最大的精算討論區,

        裡面有各式各樣的資源,在你數十年的精算師生涯裡會一直陪伴你,

        從考試、找工作、工作上的難題、義工服務,到你有天選會長要拉票,

        通通離不開AO,快加入我的最愛書籤裡吧。

    第三個,是AO上所說的最多人用的Study Manuals,所謂Study Manuals,

        就是完全考試導向的精算考試教材。就FM而言你應該是不用讀課本。

        目前最暢銷的教材,在仔細看過AO上的討論之後得出是ASM

        精算考試其實是相對及格制,每關刷掉一半以上的人,

        拿最好的教材準備才不會讓你在面對其他考生時有劣勢,

        也可以節省你的生命。Manual很貴沒錯,

        但可以讓你不重考而不浪費你的生命、無價,

        也不需要因為考不過還去讀天價精算所。

        想在manual上省錢,最後只會多花更多錢而已。

    第四是官方的考試網頁

    最後,要是有什麼疑問還不了解的話,上PTT的CFAiafeFSA版問。

    準備考試的正確心態是,以全部心力全部資源(時間、買教材的錢)

    “一次投入一科”,務求拿到10分(精算考試的結果是0~10分),

    這樣結果才會是7, 8分過。如果只想拿6, 7分,結果就是4, 5分重考

    三次。

    雖然台灣有人半年考五科,一年考五科都過的例子,但一學期考一科

    對你的大學生活的滿意度的干擾才是最小的。要記得你的目標是成為

    global pay完全精算師,不是一年考很多科。不要本末倒置。

Exam 1/P

    編號第一科,但因為數理(高等)統計學上or機率導論一般都在大三上修

    所以這科等修完到三下再考比較合適。這科就不見得要買Manual

    考試資源如下

    AO討論  http://tinyurl.com/actoute1p

    官方網頁http://www.beanactuary.org/exams/exam1p.cfm

    模擬試題與解答

    有問題一樣到CFAiafeFSA版問

找暑期工讀

    從三上一開學就要密切注意各種求職訊息,有的職缺截止日非常早,

    上學期末再找完全來不及。還要詢問找工讀成功和失敗的學長姊心得,

    對,沒成功的也要問為什麼沒找到,那也是寶貴經驗。

大四

    你的大四有歡樂嗎?

大四需要

    研究所高等統計推論

    研究所期貨與選擇權(衍生性金融商品)

    研究所財務理論(或高等財務管理)

    計算機組織與結構

    跟老師做研究(續)

    CFA Level 1

    Exam MLC

    GRE General

    Exam MFE

研究所高等統計推論

    這一方面是為了應付現在的精算考試當中的Exam C,之前舉例的

    怎麼樣考Exam C最快的例子是真的,只要修過高統推,

    C只要隨便讀一讀就輕鬆過關。

    另一方面是為了要應付未來的精算考試。現在的F/ERM考試中,

    就已經有不少風險管理的paper相當艱澀,有理論統計基礎讀起來會快很多,

    而未來的精算走向可能是由一般風險管理通才ASA再到保險精算專才FSA

    下面這本書很可能會變成正式的考試教材

    為了應付日新月異的精算知識,

    大學時先把高微、高統推修起來,以不變應萬變才是王道。

    我再強調一次投資報酬的觀念。你修高微可能要花300小時,

    可是如果高微,能幫你在未來學其他很多東西的時候,

    減少300小時以上的時間,就是回本還倒賺,學高統推也是一樣道理。

    高微、高統推是你精算生涯中會不斷生利息報酬的珍貴資產!

    連續時間財務和計量風險管理,都號稱只要有微積分程度就學得會。

    是啦,可是可能要填鴨1000小時以上,背過就忘,

    還不如多學點高等數學、統計再學比較省時,又記得久。

研究所期貨與選擇權(衍生性金融商品)

    記得我們講說大學要專注在對精算考後面困難的大科有幫助的課,

    這就是重點。Exam FETE最重要的一本課本就是

    你在學校要想辦法修到以這本書為教材又教得夠深夠廣的課

    修這門課前”不”需要先修大學的期貨選擇權(或衍生性商品),

    需要的是數學夠好。

研究所財務理論(或高等財務管理)

    Exam FETE的另一本重要課本是

    最有關的課就是研究所的財務理論啦,修一修對以後就業和考試都很有幫助

    一樣不需大學部財管基礎,但數學要不錯。

計算機組織與結構

跟老師做研究(續)

CFA Level 1

    考CFA應該是你取得VEE認證的唯一方法。因為CFA把整套一般財金的東西

    歸納得非常有系統,節省你吸收的時間。

    要知道保險業和很多大老闆賺錢的方法一樣,就是借別人的錢來好好投資,

    創造股東價值。有全面性、系統性對金融市場資產面的了解,

    對於你成為完全精算師,是必備的功課。

    再說保險公司的食物鍊大概是這樣的:

    你<<小主管<<中主管<<大主管<<高階主管<<總經理<<機構法人

    學會機構法人的標準CFA語言,可以幫助你在未來職場無往不利。

    而且某些公司考精算考試有加薪喔,或是有補助費用!有的還有放假!!

    以學校課程抵VEE的問題是,那會排擠到你修真正重要的課和做研究的時間。

    以線上課程抵VEE的問題是,那會花你很多時間做無腦作業,

    不在精算界就完全沒用。我的意思是完成VEE所需的所有線上課程

    大約要500小時,不如用這500小時好好讀CFA Level 1, 2,自己

    也以有效率的方式學習,投資管理和銀行界的人也會了解你的程度。

    記得生命要花在有價值的地方。

Exam MLC

GRE General

    讀美國研究所幾乎都要考GRE,但效力只有五年,太早考沒用

    大四有時間剛好可以考一考。

    要知道:

    當你算出來考ETS的GRE比考SOA的精算考的精算現值還要高的時候,

    就代表你對精算原理已經融會貫通了。

    另外,因為你實在太忙了,考GRE只要和補習的人拿資料

    還有到PTT的GRE版搜集資訊就行,你沒時間補習也沒關係,

    記得考GRE只要過門檻就好了,不需要太高。

    申請博班最重要的是你是不是一個有潛力,又立刻能上手的研究人員。

    GRE太低不行,表示可能不夠聰明。但是很高分不代表很會做研究。

Exam MFE

    這科比較建議期貨和選擇權修完再考,最省時省力。

另外就是大三、大四或大五有機會的話找一年或半年去交換學生好好玩。

沒有的話也不要太難過。

工讀也是一樣,有沒有都是緣份無需強求。

完全精算師手冊(七)薛西弗斯精算神話

你在台灣被local pay壓搾的時候,有好好找點樂子嗎?

    有人說台灣雖然薪水低但物價也低,那是b!@# s$%^

    平均沒有意義,第一個是台灣房價相對於所得非常非常高,工時也超長,

    如果房貸計入生活成本,那台灣是世界上生活最痛苦的地方之一;

    第二個每種東西在每個地方的價格不同,

    比方說,台灣美食便宜,一切涉及人提供的服務都很便宜,有方便的KTV,

    但是名牌貴、進口車貴、房租便宜,還有國外來的各種藝文展覽音樂歌劇都很貴;

    美國就反過來,好吃的餐廳都很貴,沒到處KTV只有卡啦OK機,

    名牌打折後便宜的和垃圾一樣,房租貴,但是房價很便宜,

    雙B入門款只相當於在台灣的國產車價錢,文藝展演很便宜。

    你在台灣,就要快樂消費台灣CP值高的東西,出國就消費外國CP值高的東西,

    人生才會最快活。

    也就是說,要在台灣吃美食長大,讀便宜大學,然後想辦法出國做基層到

    中階工作,開名車買房看文藝充實心靈,然後經亞太回台灣當高階出一張嘴,

    退休當包租公婆看健保便宜,才是王道。

進入正題。人很難比自己設定的目標還高,比效法的模範還強,

把學習目標訂在世界級精算大師,你有可能成為亞太區總精算師

把職涯模範訂在台灣精算環境裡實力派的A咖,你只會成為台灣精算B咖。

http://tinyurl.com/pioneeractuaries   所以要讀熟世界精算大師的故事

對照一下你的年資和考試。如果你的薪水是global pay的四分之一,你應該要把

四分之一的心力放在工作,四分之三放在如何拿global pay之上;

如果是global pay的二分之一,你應該要用二分之一的心力準備出國

別忘了你要出國

    出國前大約一年半,就要開始弄申請學校的事情了,所以工作再忙也要

    找時間準備出國的事。

    在任何情況下,都不要為了local pay賣命,因為絕對不值得。

心態

    在台灣工作你會看到很多光怪陸離的牛鬼蛇神眾生荒唐,

    請記得冷眼旁觀微笑以對。

    另外,要假設每人個做的每件事都是基於他自己的利益,

    絕對不要以為有人會照顧你而犧牲他自己。

    最後,市場那看不見的黑手才是最後的仲裁者,

    你、主管、公司,任何組織或個人,都必須服從市場判決。

找工作

    沒讀碩士找不找得到工作?

        的確有幾家特定公司傳統上只收碩士,不過也就那麼幾家而已,

        就大多數的公司而言,他們並不會特別偏好碩士,一切都是因為錢。

        若其他條件不變,碩士一年比學士貴了不少。

            謎之聲:反正鮮肝便宜就好,其他都不重要。

        一般找新人,大概就是一個缺,年薪50到70萬,不會再多了,

        此時如果把幾萬放在碩士上,就是少幾萬可以放在程式、溝通、外表:P

        考試上。而且碩士比學士大兩歲,肝鮮度又差了兩年。

        業界的確有一些主管有詭異的心態,就是見不得別人好。

        他們可以接受底下的碩士新人一年之後跳槽,反正你出去還是local pay,

        不能接受學士新人兩三年後出國,因為你目標拿global pay他就內心不平;

        比樂透簽中頭獎號碼,但早了一期還要難過;http://tinyurl.com/45bvxuj

        但反過來說,也有一些頭腦清楚理性的主管,在惡劣的大環境下,

        還是本著良心和智慧在做事,他們總是關心底下的人的發展,

        用最好的人追求最好的工作績效,

        就算人走了也都誠心祝福他們,視為自己影響力範圍的擴大,

        短期內,準備齊全的未來的完全精算師會全部集中到理性主管手下工作,

        見不得別人好的小心眼主管的team表現自然就輸理性主管的team。

        長期來看,當完全精算師陸續回到亞洲regional甚至台灣高層的時候,

        當然他們只會把理性主管拉上去,而把見不得別人好的主管捨棄。

        主管用不用未來的完全精算師,完全看他想在業界陣亡,還是活下去而定。

        封鎖所有的完全精算師的遠征之旅是不可能的。

        而且學碩士的心態不太一樣。學士比碩士更有可能以後會出國,

        需要推薦信,所以兩、三年間的穩定度反而比較高,

        而碩士不再需要推薦信,一年就跳槽的也在所多有,

        當然,非理性的鴕鳥主管是不管這個的。

        再來,在你看到這篇文章的同時,網路上所有人也都看到了,

        你應該會合理預期,從此願意為local pay精算工作犧牲奉獻的基

        層精算人員會大幅減少吧?

        在業界的基層人員工作意願和表現降低,想入行的新人又減少的情況下,

        公司急需基層人員,又不想提高待遇!就不可能限定在只收碩士的。

    外商

        找工作的時候不必迷信外商。

        外國的月亮比較圓,那要還在外國才行,你應該還記得

        台灣的外商,就是

        以無數台灣精算奴血汗,成就一代代香港精算師無上光榮的地方

        吧?要知道

        史上全無local與外商之別,從來唯有local pay與global pay之分

        ~~~~~~~~有沒有前外商被local公司收購變local後,

            員工在業界自稱”我們外商背景”還是會高潮的八卦?~~~~~~~~

        local pay就是local, period

        ~~~~~~~~台灣的外商如果也能叫外商的話,那新加坡隨便一家都是

            gamma 銀河商囉?美國呢?難不成叫

            外星異次元、黑洞另一邊、平行宇宙商?~~~~~~~~

        而且外商薪水不見得比較高。目前聽說薪水最低的,除了靈界公司外,

        (淨值為負,可能會被接管的),都是外商當中的local pay。有某外商

        環境不佳,人一直走,又不願意提高公司local pay的價碼20%找人,

        (比方說六萬加到七萬五),反而從香港調人來成本是local pay的兩倍,

        (比方十二萬)再加租屋津貼,也付的很高興,因為符合外商制度,

        local hire就低薪,regional調來的就高薪,完全符合公司制度

        ~~~~~~~~謎之聲說佳句*5

        當然去外商你會比較上進,不是因為外商制度好,而是因為在外商,

        你每天都會親眼目睹身份決定薪水職位的現實,而想要儘早出國。

        在我看來,外商和本土公司最大的差別,

        就是本土公司是不靈光的大腦,但好處是你和真正的精算研發者:

        再保公司和顧問公司的接觸比較直接,有機會得到第一手的資訊。

        而外商的好處是制度完善,但是你就是follow regional guidelines,

        問regional為什麼,他會說他也是follow global guidelines,

        你在外商就是單純精算行政,所有的要大動大腦的研發工作,

        由global和再保與顧問在地球的另一邊決定。

        找第一份工作,如果有選擇,除了大公司(精算和商品合計超過一百人)

        和靈界(淨值為負,可能被接管的)公司之外都好,沒選擇就算了。

    環境待遇

        雖然是新人,待遇在各家公司也是差很多,有的公司會給新人接近

        六萬的高薪,也有公司只給三萬出頭的低薪。有的有加班費,有的沒有,

        有的年終獎金和勞健保勞退提撥計入考試津貼,有的沒有。

        有的公司對考試輔助的看法是這是你的權益、也是義務和責任,

        有的公司對考試輔助的看法是這是給忠心老狗的骨頭。

            有的公司要求離職前一年的培訓費(考試、公假、差旅、學費)

            必須按比例繳回,有的是前一年的全數繳回;

            有的是兩年,最誇張的還有追溯三年的,可怕吧。

        有的公司考試假是真的,也就是說要考試的時候主管會把工作調開,

        有的公司是假的,要考試就叫你工作做完再說,或是丟更多工作給你。

        有的公司給新人的考試津貼會打折,或是延後支付,比方說每做滿三個月

        才能多領一科津貼,有的公司就大方的多。

        有的公司投資人員(當中又分固定收益強或不動產強)、

        業務人員的福利地位至上,有些公司比較照顧精算人員。

            要知道為善待精算人員的公司打拼,

            在市場上擊倒對精算人員不好的公司,

            就是精算從業人員至高無上的道德。

        有的公司是由FSA主持的,有的公司是由所謂就地合法的精算師,

        也就是連中華民國精算學的考試都沒有全部通過就取的簽證資格的人,

        主持的。

            你覺得就地合法的精算師會真心希望公司有年輕有為FSA嗎?

                謎之聲:聽說兩岸的就地合法精算師正在努力運作希望取得

                對岸的簽證資格,不曉得兩岸的FSA們有沒有反應?

        有的公司年休假多,有的公司休假只符合勞基法最低標準。

        台灣不是美國,local pay不是global pay,總不可能盡善盡美,

        但你要特別小心幾種情形,別被公司唬爛了:

        1.明明薪水很低了還要你和拿22K的大學畢業生比較而不和業界比較

        2.跟你說溫書假基本上都照休但實質上等於沒有溫書假

        3.沒加班費,和你說加班很少但事實上加班不少

        ~~~~~~~~共產人資白手套的奇怪行為~~~~~~~~

        有的人資心態很奇怪,總是希望以local pay當中的低水準,

        找到超強的員工。然後你拿業界合理水準其他家公司的薪水和他談,

        他就會惱羞成怒,說:「你是不是不愛我們公司?」

        「不然為什麼薪水比別人低幾萬你不願意過來?」

        啊廢話,不愛你公司薪水福利好難道愛你薪水福利差嗎?

        又不是頭殼壞去!要是薪水低就表示愛公司,那你人資自己薪水

        為什麼不少個零?你人資要是相信”反市場經濟”的行為是合理的,

        為什麼不移民到共產國家去?(中國已經不太符合了喔,呵呵)

        如果你碰到這種人資這種公司,本著反市場經濟邏輯的方式做事,

        你一定要把數字和薪水告訴同學學弟妹,建立名單,以免再有人受害。

        繼續吸食這種反市場的迷幻藥的公司,幾年內一定會被市場淘汰的。

        ~~~~~~~~反映的是公司高層黑手的心態~~~~~~~~

        至於公司的前景如何,不重要,那是大餅和高層的嘴炮。

        要記得公司賺多少錢不重要,進你口袋多少錢才重要。

        總之多打聽,不論是可能的公司、同事或主管,

        都要想辦法向同學學長姊打聽清楚。有些公司根本就是習慣性打壓新人,

        任何的最起碼薪資福利,都是能苛扣就扣。

        他們覺得沒有給你22K你就應該要跪下來謝主隆恩了。

如何比較不同公司的offer

    人資常常會努力設計一些奇怪的障眼法,讓薪資福利看起來比實際上好,

    但常常看得到吃不到,待我教你一一破解。

    1.保證年薪月數

        這很重要,假設A公司保證年薪14個月,那年薪就保證是月薪*14,

        如果不保證,那就以過往的最低紀錄為準,假設年終只有一個月。

            不要相信,”以往””通常””平均”年終有幾個月,

            (考)績(效)、現金分紅有幾個月,配股多少,

            那些都是不確定的可能拿不到的,只有保證才是真的。

            有些公司年資不滿兩年的年終一律兩個月,滿兩年的才有

            四個月。因為一般人兩年就會考慮算地方,所以碰到這種

            公司一律以新人的低標計。

    2.津貼是否計入全薪

        如果津貼不計入全薪的話,通常年終就只依少少的本俸計算,

        這樣年終一個月只等於別人半個月而已。另外,有些公司

        連勞退提撥都沒算入每月領的固定專業津貼,這樣人家提6%,

        他等於是提3%給你而已,你的3%就被公司吃掉了,更嚴重的,

        事實上這是違法的,勞委會一看連續幾年”每月”都領有津貼,

        絕不會接受津貼不是故定薪的說法。只差沒有人去爆料而已。

            不要相信,公司”未來”要改津貼辦法的說詞。

            既然你未來才改好,那你就未來再來找我吧!

    3.年休假天數

        精算之類的專業服務本來就是以小時計費的。

        如果有公司的年休假比別人少,那錢本來就應該比別人多。

        有些摳門公司年休假只給你符合勞基法最低標準的數字,

        還不能連休,沒休完也不能完整遞延或折現金。

            不要理會你在公司待十年年休會有幾天,

            敘薪的那年有幾天才重要。

            跳槽的話假一定要談清楚寫入合約中,

            不然有些公司就直接裝死把假吃掉。

    4.加班費

        有些公司是沒有加班費的。如果是這樣,先假設每天無薪加班1小時就好。

        因為加班的情況通常不太平均,有時會突然加很多,加上加班不到1小時

        通常沒辦法報,以勞基法規定加班前兩小時1.33,超過兩小時1.66取中值

        就算1.5就好了。所以沒加班費的公司薪水只相當於有的公司的8/(8+1.5)

        而已。

            不要相信”我們都不希望大家加班”這種鬼話。

    5.身心靈喜悅健康程度。

        在某些地方上班身心愉悅,少一點錢也無妨;某些地方上班就會常常

        遭受各種對人為主對事為輔的攻擊,尊嚴天天受到打擊,

        還要花很多錢和時間消氣,吃大餐、到處玩、SPA、血拼、治病保健etc。

        賺十萬花五萬花時間治病,不如只賺五萬,了吧!

    所以假設A公司給你月薪5萬,保證年薪14個月,考試計入本薪年終勞退基數,

    新人年休10+4天,真的有實在發加班費、不影響身心靈健康,

    而B公司不保證年薪、考試不計入、新人要做滿12個月才依比例給你年休,

    第一年沒有假,沒有加班費,讓人肚爛每賺10元有1元要拿來消災解厄調養,

    那B公司的月薪要多少才和A公司月薪5萬相當?

    Ans: 5萬 * (14/12.5)  //不保證就假設1個月,不算津貼1個月等於半個月

             * 1.03       //勞退少提的部份要補回去

             * 365/(365-14)   //年休假差14天;勞基法規定放假日還有薪,

                              //所以不能用250工作天要用365日曆天

             * 9.5/8  //沒加班費抓加班一小時應領正常日時薪1.5倍

             * 10/9  //因為肚爛影響身心所以領10元只相當於B公司9元

             = 大約8萬塊

    會換算會做比例分析了喔,不用再舉其他例子了吧?

試用期

    試用期的最高指導原則就是河蟹,裝認真,順便看鬧劇一場。

    因為你是新人,一舉一動都會被放大檢視,一般來說,要順利過關,

    要:

        一週有四天和部門同事午餐

        下班不要太早走

        露出積極認真的表情

        不要考精算考試,但考CFA抵VEE可

        不要請溫書假

    ~~~~~~~~有沒有請假出國玩受表揚,請溫書假就被鬥爭的八卦~~~~~~~~

    還有不要上網看SOA的東西

    ~~~~~~~~有沒有上網看盤炒股OK,看SOA考試資訊不行的八卦?~~~~~~~~

    要記得你的一切上網行為全部都是被監控的,什麼話不該說,

    就不要透過網路傳送。

Year End Review

    一般來說每年年底會有績效評估,你也可以順便對自己的進步做個檢視

    內部review–主管主觀印象

        考績永遠是最不重要的東西,一般來講前兩年因為你資淺考績

        都不會太好。你只要記得考績<<<<<<市場即可

    外部review–客觀市場價值

        從你第一年上班開始,就要和head hunter保持密切合作,記得

        人資的心態是

        your pay=min(國籍、學歷、經歷、考試)

        把你薪水砍越低,他們績效越好。

        而head hunter的收入來自於你薪水的抽成(比方說一個月)

        你薪水越高hunter賺越多,hunter公式是

        your pay=MAX(國籍、學歷、經歷、考試)

        只有在人資min和hunter MAX決戰的情況下,你才有可能拿到

        合理薪水。有經驗之後就再也不要單獨面對人資被無情砍殺,

        也不要透過奴隸銀行找工作了。而且有些有趣的工作只會透過

        hunter找。

        一般來說只有ASA以上,當你的資料進入SOA的會員資料庫後,

        hunter才有辦法主動找到你。但即使你不是ASA,

        只要你把resume寄給hunter,他們都樂意和你合作。

        每年,

            都要把resume寄給hunter,請他們review你進步的幅度和

            市場價值為何?還缺少什麼skills?需要怎麼補強?

            目前你的條件離你的career短、中、長期目標還有多遠?

        這遠比考績重要多了。

        精算相關的hunter有幾個:

        DW Simpson,美國最大的hunter,也是AO的贊助商,

        業務範圍遍及全球。

        Darwin Rhodes,英國最大的hunter,業務範圍也遍及全球

        Jobs 4 Actuary,這家有最多亞洲區,甚至是台灣區的非傳

        統精算工作,有不少再保,連我都好心動啊。

        以上三家勢力遍佈全球,不過台灣不一定有office,

        要用英文溝通。

        People Search,新加坡最大的hunter,專門服務高階人才。

        台灣的辦公室在101,有專門的consultant負責台灣區的精算工作,

        快把resume寄去吧!

    自我review

        有沒有學到東西,有沒有浪費生命,自己最清楚。

    同儕review/薪資水準

        主管講的漂亮話考績ABC都是假的,最新的薪資水平才是真的。

        同時要比較一下同學、學長姊學弟妹的薪水如何?學到什麼?

        大陸人的薪水這幾年升的很快,一個主要原因是他們非常重視

        比較薪水,一發現自己/自己的公司薪水低,就馬上跳槽,

        於是薪資就呈螺旋式不斷上升。這招要學起來。

        跳槽加三千抵在同一家公司再待兩年,

        加七八千就等於抵同家公司再待五年,要一點一滴累積身價。

    終極review

        你離global pay的起點還有多遠?

            你已經站在可以看到global bonus的地方了嗎?

                這是你時時刻刻都要不斷提醒自己的問題。

seminar

    工作的時候,你有機會參加各式各樣的seminar,

    雖然是新人也要盡力爭取出席。學到新知是其次,

    重要的是看看台上的speaker,立志:

    「人生做精算當如global精算顧問公司合夥人台上翩翩speaker爾,

    平常領global pay是喝清湯,定期分global bonus才是吃主菜。」

    去完seminar,公司通常會叫你土法煉鋼把一群global pay的精算師的心血

    靠一兩個local pay的職員就做出來。你就……花點時間隨便搞搞就好。

    內心的OS當然是做得出來早就領global pay了。

    參加seminar的時候,有時候有機會碰到大咖比方說SOA高層,一定要把握

    機會networking。順便可以比較大咖講的話和主管講的話有什麼不同?

    比方說SOA會長告訴你考試不能停,公司主管嫌你考太快,你要信哪個?

    =>趕快出國繼續考。

    另外在seminar之中你還可以看到台灣local pay精算界沉淪的最新景象

    ~~~~~~~~有沒有台灣精算師薪水已經比大陸低的八卦?

    ~~~~~~~~有沒有SOA辦的seminar台灣的費用是東亞最低,

            台灣精算學會的人都還一副對於被SOA救濟,

            感到沾沾自喜的八卦?

    ~~~~~~~~有沒有台灣精算學會請外國貴賓speakers來台灣演講,

            小氣窮酸不負擔貴賓來台食宿機票,有夠丟臉,

            會長還在台上反複強調對方付費有多讚,繼續丟人現眼的八卦?

選舉

    每年年底台灣精算學會會舉行理監事選舉,你拿候選人名冊來看一看,

    挑出有海外經驗的大頭,看看國外的年資職位比敘到台灣可以高多少?

真的跳槽/輪調

    一年經驗 x 10 != 10年經驗。Head Hunter可能會告訴你每年輪調最好,

    公司主管卻會說四五年調一次為佳,你要自己綜合出對自己有利的方案;

    基本上快滿兩年就要尋求學習新事物的機會,要是沒機會就向公司外發展。

        累積經驗最重要的是跨國,再來是跨產業(直接保險,再保險、顧問)

        其次才是跨功能(一般壽險、投資型、短期險、ALM、準備金、經驗率)

        所以要學習成長,出國工作最優先,再來是跨產業。

    一般一直在同家公司,大約三年會晉升一次,但有策略的跳槽,兩年一升

    是可以預期的,這算是公司人事制度的缺陷吧。

    你可以觀察公司裡平均不到兩年就升一等的主管,幾乎都跳槽過。

    只要是待在同家公司,上面就覺得不需要付你市價,每年加個一兩千就夠了。

    一般來說只要薪水加一成就可以考慮跳了,一點一滴的累積身價比尋求

    一次加三成踏實多了。你想想看如果今天規定房價要漲三成才能賣,

    房屋的成交量一定比現在少,房價會有現在高嗎?大陸精算人員薪水

    比台灣高,主要是他們從不懼怕跳槽,一個月多五百就跳了,在頻繁

    的流動下,大家的薪水才能即時反映他們的工作能力。

    工作前幾年有機會就跳個一兩次,不然在同個地方待八年十年有天不喜歡

    想動的時候,因為沒有換跑道的經驗,會很恐慌。

    另外跳槽要速戰速決,台灣的勞基法已經是寵愛資方到極限了。

    在法定的10天到30天期限內交接不完,是公司的責任不是你的,

    問題出在公司平常沒有足夠雇用足夠的人力,

    建立工作手冊和定期職務輪調,而不是你有問題,

    你越是奴性重越替公司想,就越是在破壞工作環境和大家的待遇。

        一個人離職可以帶動的人員流動數可以乘上好幾倍,

        每流動一批人,平均 b面價值就更加趨近於競爭下的市場成交價格。

    然後千萬不要接受現金以外的慰留方案,不管主管的眼淚鼻涕多逼真,

    要知道沒把你的薪水加到同業挖不走,是公司的根本錯誤,

    你沒有錯。你的錯,會是在機會來到面前的時候,自己鄉愿,自我放棄。

    不囉嗦,快點連絡hunter吧!

天龍人養成術

    在職場上你會看到很多香港人年紀輕輕就位居高階主管,Why?

    第一個薪水不同使得經驗的累積有所不同。

    global一年 = regional兩年 = 台灣三年經驗,

    顧問或再保的一年 = 保險公司兩年

    然後中小型公司一年 = 大公司兩年

    所以美國顧問一年經驗抵台灣外商或本土大公司十二年。

        =>你還想要繼續待國內嗎?

    第二個是起點不同,比方說科技業在台灣的基層是工程師,大陸是民工,

    精算也是一樣,香港最低的職位比照到台灣都是資深非主管職位。

        熟公職的,你可以想台灣職涯是初考委任一級開始,香港是普考委三開始,

            美國是高考薦任六職等開始;

        看過新兵日記的,你可以想台灣是從二兵開始,香港是下士開始,

            美國是少尉開始。

    第三個是派外的時候會直接升一級,就和從台灣去大陸就變台幹一樣,

    香港的副理,真的派來台灣先再升一級就變經理了

    第四個是駐外經驗有加成,兩年抵三年,依照第一點的公式,結果就是:

    香港人的來台灣,regional經驗會以1.5倍累積就和global經驗相等了。

    ~~~~~~~~有沒有香港人的台灣經驗等於global經驗,

            台灣人的台灣經驗就是local經驗的八卦? ~~~~~~~~

    所以你就會看到一卡車香港人,先在香港做一做,然後派來台灣,

    來台前後可能穿插去歐美過水半年一年,最後就是二十六當經理,

    二十八當協理,三十當副總。

超天霸皇龍世家

    不過天龍人還不是最厲害的,我們看一下天霸皇龍列傳:

    台灣輔大學士->美國博班讀一半簽碩士走人,美國就業,

    之後轉回台灣很年輕就當總經理。

    當中的關鍵是這段:

    “服務5、6年……先後曾經待過國際部、企劃部擔任協理”

    所以協理Assistant Vice President(AVP)在global是入行五年的位子,

    當中可能只升過兩次(ASA一次,FSA一次),

    台灣的專員到資深經理分這麼多級不知道在幹什麼。

    ~~~~~~~~有沒有輔大+美國>>>>>>>>政大+台灣的八卦?~~~~~~~~

    雖然已經生為天龍人了,但他還想更上一層升級為天霸皇龍,

    瑞士籍香港人,英國學士博士

    之前講過的林遠安,目前是有史以來世上最年輕的FSA,20歲就考完了。

    很神嗎?NO,台灣隨便一奧林匹亞國手的資質,

    到美國環境走精算就有可能是這樣。

    梁綺紋,高師大附中讀一半到美國留學,

    24歲就拿到FSA並在瑞士再保險升到AVP協理。很神嗎?NO,

    台灣非國手的台清交理工資質到美國就有機會這樣

    ~~~~~~~~有沒有高師大附中+美國>>>>>>>>北一女+台灣的八卦?~~~~~~~~

    note: 瑞士再保險的協理AVP是大學畢業後只晉升過一次的職位。

    FSA AVP薪水應該有十二萬美金左右。

    所以美國24歲=香港28歲=台灣40歲+

    可見台灣的人才,完完全全是葬送在台灣local pay惡質精算環境裡了。

    要記得當你算出

        考ETS比考SOA的精算現值(actuarial present value)還高的時候,

            就表示你對於精算理論已經融會貫通了;

    當你發覺

        精算生涯最重要的縮寫不是FSA而是H1B的時候,

            就表示你已經有嫻熟充份的精算實務經驗了。

    所以唯有走天霸皇龍國路線,才能從此擺脫被小天龍人壓迫的宿命!

主管的小孩

    不管主管對你怎麼河蟹,切記聽其言也要觀其行:

    工作的時候還要特別注意主管的小孩,看看哪些人的,小孩去美國生;

    寒暑假都送出國;在台灣讀的是台北美國學校、台北歐洲學校,

    新竹實驗中學雙語部,還有復興、康橋、薇閣等私立貴族學校,

    你猜猜看主管這樣花大錢栽培自己小孩的目的,是要走global路線,

    還是local路線。

    不管你跟主管的感情如何的好,

    你真的會想要當你主管的天霸皇龍小孩的奴才嗎?

    想通了你就知道怎麼走了。

考試

    入行後要想辦法考過CFA Level 2和Exam C。其中Exam C應該要讀Mahler。

    C本身是產險的東西,向FCAS學才是正解。大多人最愛的FSA寫的ASM

    在行家眼中就像是功文數學。

    CFA Level 2很難,一定要把那當成一科大科的精算考試來準備。

振作

    你問任何一個有點經驗的精算人員,明天上班最重要的事是什麼?

    反射回答一定是:「午餐!下午茶!!」

    如果你覺得自己已經是精算行屍走肉的話,記得找阿特拉斯聳聳肩,

    讀一讀再充電一下。

Say No

    在台灣做local pay精算工作,就像是不斷重複把一塊巨石推上山頂去,

    然後又看著巨石從山頂上滾下來,一次又一次,一次又一次,

    你有著身為台灣人的原罪,就得接受世上最可怕的處罰:

        不斷從事徒勞無功和毫無希望的工作。

    等到有一天你受夠了這一切,憤怒的大喊:

    不~~~~不!不!即使我現在所有的東西只剩下了這個「不」字,

    也不能走local pay那條路,不能生活在local pay的世界裡;

    你相信自己註定成為完全精算師的命運至高無上,絕不能輕言放棄;

    你發現local pay精算環境裡受害者唯一的錯,

    就是把不能三十歲前成為能獨當一面的global pay完全精算師,

    當成了他們自己的錯;

    台灣精算環境的潛規則將人畫分出等級,

    然後命令他們按相反的規矩去生活:

    領global pay的可以什麼都想要,  領local pay的則什麼都別想,

    領global pay的是上天的寵兒,    領local pay的則是被詛咒的;

    領global pay的可以騎在別人頭上,領local pay則當牛做馬;

    領global pay的是吃人的,        領local pay的則是被吃的。

    要知道台灣精算環境之所以有這種邪惡的存在,

    就是因為它得到了你的認可。把你的認可和支持統統都撤走。

    不要遵從你的敵人的旨意活著,或者想在他們制定規則的遊戲中獲勝。

    他們採取的是一種對你進行白目勒索,吸乾你的血的策略,

    借助的不是你是身為台灣人就生而有罪,而是你對精算的熱愛。

    他們指望你在得到限量的一點點local pay之後,在皮鞭的驅趕之下,

    還能繼續去產出各種高品質的精算成果。

    你抓狂了,你大吼:

    不要喊什麼我們有職責為local pay效勞,我們不承認這樣的職責;

    不要喊什麼local pay職位需要我們,我們不認為需要就有權利得到;

    不要喊什麼local pay環境擁有我們,你們並不擁有;

    不要乞求我們回來,我們這些有精算才華的人罷工了!

    我們罷工反抗的是把追求成為完全精算師視為罪惡的教條。

    我們罷工反抗的是台灣人生而有罪的主張。

                我們死,也不要在local pay當中殉難!!!!

    這時你就可以完全focus在出國上了。從你上班第一天開始算,

        大約需要

                半年

                    的時間吧。

完全精算師手冊(八)美利堅亞特蘭提斯

跳 跳 跳乎伊爽

跳 跳 跳乎伊勇

跳 跳 跳甲要起瘋

跳 跳 沒跳凍未著

跳EVERYBODY跳EVERYBODY跳

http://tinyurl.com/pioneeractuaries   學精算大師

http://www.dwsimpson.com/salary.html  領基本工資

http://tinyurl.com/atlasshruggedyb   聳聳肩

約翰‧高爾特是誰?

    Atlantis, the island of Atlas。

    亞特蘭提斯,意思是阿特拉斯之島。

    阿特拉斯是傳說中扛起蒼天的巨神,又稱為擎天神。

    美國,就是現代的阿特拉斯之國。

    每個文化有其自身特有的,至高無上的人的典範的觀念,

    日本是武士

    中國是道家所說的至人

    德國是尼采所說的超人 Ubermansch

    李錫錕的政治學你有認真上的話應該是一輩子忘不了

    美國人的典範,就是entrepreneur

    美國精神,就是enterprise,譯作企業或勇往,在美國是同一個字,

    美軍當代最強的軍艦,一定要隨時有一艘企業號/勇往號,

    就算是到了Star Trek的時代也是一樣,就是因為enterprise代表美國價值。

    像尼采藉由查拉圖斯特拉之口訴說自己的哲學一樣,

    蘭德創造了約翰‧高爾特,向全世界傳達她的觀念,

    寫成了定義美國企業家勇往精神的書,也就是阿特拉斯聳聳肩。

    這本書半個世紀多以來,已經影響了千千萬萬個美國人,

    是美國人精神力量的源泉。

    企劃了幾十年,今年總算要拍成電影上映了。

    在去美國之前,你一定要把阿特拉斯聳聳肩好好地讀熟,

    才能了解美國文化裡的最核心價值,也才會有和美國上層菁英共同的思維。

    雖然有了電影,但細細咀嚼文字,你的體會會更加深刻,一生受用。

    看完才不會去了一趟美國仍然像劉姥姥遊大觀園一樣,什麼都不明白。

    阿特拉斯聳聳肩是世界上最好看的小說,你一定要看一看!

global pay, local消費才爽

    去美國之前要規劃一下回來的路,如果你想在美國落地生根的話,

    因為種族語言文化的關係,大概到中階主管就上不去了,只能期待下一代,

    要知道global pay, global消費並沒有比較爽,只是收入和支出都乘以3而已;

    我們追求的是global pay, local消費,

    所以在美國做到中階就要想辦法回亞洲區做高階,

    然後從台灣區最高階、大中華區最高階做到亞太區最高階。

Why the United States?

    在三大英語系精算宗主國:美國、英國、澳洲;還有其他精算週邊大國:

    紐西蘭、加拿大、愛爾蘭之中,

    美國是外來精算人才最容易找到精算工作的地方,

    加拿大、英國或澳洲,本地就已經生產了超量的精算人才,外國人就業不易。

    而且香港因為其殖民統治的歷史,和97回歸前後的大移民潮,

    香港人有英國國籍學經歷和加拿大國籍學經歷的很多,(ex.李嘉誠是加拿大人)

    你去加、英兩國會處在相對於香港人的超不利劣勢;

    反過來說,在美國,台灣人就不會處於相對於香港人的絕對劣勢之下,

    加上美國對外來技術人才歡迎和接納的程度還是世界領先,選擇美國就對了。

校系選擇

先插個話,如果你有機會到美國或英國讀大學部的話,有機儘量選

資工/數學二合一的program,ex.

我們之前講過Plan A是讀STEM理工博士班,

考完博士班資格考後拿學生簽證去業界工讀一學期,

之後進可攻,退可守,就業學業都不錯。

這邊我在講細一點,因為有時候你就是沒辦法執行Plan A,而要選Plan B or C。

第一是讀碩士還博士。美國理工研究所分幾等:

    一等是博班,學雜費全免之外每個月還有一、兩千元美金生活費;

    二等是所謂的要寫碩士論文的研究型碩班,一般要讀兩年,有獎學金,

      拿到獎學金後大約是一年學費只要交一萬美金,生活費自理

        ~~~~~~~~以上為學校,以下我認為是學店,你可以不同意我的看法

    三等是教學型碩士,只需要修課即可,通常你需要付全額學費再加生活費,

      但只需要一年至一年半就可以畢業。

    學店並沒有不好,只要他能提供你global pay的機會,那就是品質服務皆好學店,

    如果你能順利在美國找到精算工作,早半年開始做可能就是三到四萬美金的收入;

    反過來說,就算是學校,只要不能讓你拿global pay,就是爛學校;

    你年紀越大,工作經驗越長,想早點讀完書回到職場的願望就會越強烈,

    此時最短可能只要十個月就畢業的就業保證績優學店可能才最符合你的需求;

    此外,一家研究所通常學校與學店兼營;given你的申請條件,你可能要在…

    比方說Top 20的教學碩士—-20~50的研究碩士—-50~100的博班當中選擇,

    以目標都是global pay的正常環境美國精算工作而言,

    要考慮自己的情況做出你自己現有條件下的最佳選擇。

第二是科系

雖然所有理工科系都OK,我想要特別強調兩個。

第一個是資訊工程。

    美國所謂的科技業主要是資工相關而不是電機相關,也就是說,

    資工的需求量非常非常的大,目前美國本身供給還是不足

    就CS的畢業生而言,一流的會創業或去新創公司工作,

    ex. 初創時的google, 現在的facebook,二流的會去現在的大公司,

        ex. Microsoft, Oracle, IBM, 現在的google,

    真的有CS的人流到精算界,一般也是從三流開始,

    沒有特別原因,經濟因素而已,一般CS碩士到大公司有八萬美金以上,

    博士還更高,不用一直考試,所以會想走精算的人不多。

    所以你去美國讀CS走精算可以避開CS高手的打擊,

    對公司的精算考試內容以外的附加價值也很明顯,

    去美國讀精算的可能問題之前已經提過了,

    如果你讀數學、統計之類的,每年一流的畢業生很多就有一定比例會走精算。

    因為美國理科博士當post doc的薪水只有三萬美金,助理教授五萬而且加很慢,

    精算如果在大城或是顧問或再保的話,六萬起跳。

    讀數學統計,就沒辦法享受到優秀的同學都不走精算的好處。

第二個是地球科學

    特別是地質學、大氣科學和海洋科學當中偏數學模擬的部份

    如果你有看新聞的話,就會注意到最近有很多嚴重的天災接二連三的在世界上發生,

    這有個專門術語叫做罕見巨災常態化,因而需要越來越多的巨災評估人才,

    連帶的使得DW Simpson也開始新增巨災模型人員作為一種主要的工作類別

    研究所程度的地球科學研究的最主要課題,就是找出能預測自然現象,

    不管是地震、聖嬰、颶風,的數學模式,寫成程式,丟給超級電腦模擬,

    而純地球科學專長的畢業生,就和在台灣一樣工作機會有限,

    所以這在美國也不是理工科系當中的熱門科系,

    此時你做為一個數學和資工能力都不錯的有經驗精算人員,

    對於研究所程度的地球科學剛好算是基礎夠,比大學就讀地球科學的人還夠,

    (和經濟學很像,研究所經濟學需要的是很多數學和一點大學經濟學)

    申請學校時只要在SOP中說,

    自己做精算之後發現巨災才是未來人類所要面臨的關鍵問題,

    blah blah blah唬爛一堆,要進地科相關的研究所應該不難。

    如果大學也有研究過相關的課題那就更好了。

    找美國工作時,就說我比其他精算人員更懂巨災,而且我電腦夠強,

    又有精算經驗,就直接錄取了。

如果你讀博士,但是研究經驗不夠的話

    這樣你可能要特別挑一下碩轉博路線很明確的碩士班,

    才不會碩加博讀到七、八年。

    比方說,有的學校碩士班直接告訴你,只要GPA夠高就可以很容易轉到博士班,

    或是有的學校宣稱碩士如果參加博士班資格考成績好的話對碩轉博大大加分,

    就要特別列入選校考慮。

學校地點

    美國最大的精算就業區是大紐約區和大芝加哥地區,

    但很多理工強校,特別是CS強校是在西岸,這你在選校時要納入重要考量。

    雖然你最後的工作地點有可能不是在大城市,

    但在一個交通方便的地方讀書找工作總是方便許多

到美國第一件事

    加入當地的精算club/society建立關係。如果你讀的碩士班的話,

    馬上開始找工讀。如果你讀的是博士,那博士班資格考後馬上工讀。

    快畢業才開始找工作,會是你去美國所犯的

         最 最 最 致命錯誤。

找美國工作

    誰給你工作簽證工作你也不討厭就去了,

    目前所知大城市大保險公司的精算部門一般都不用外國人,

    再保的機會也有限;顧問公司對工作簽證就支持多了,

    或是小城小保險公司也比較願意用外國人,總之H1B最重要。

美國跟台灣差在哪?

    薪水。薪水會影響有多少事呢?

    第一個是工作的價值。

        美國因為是global pay,比方說一年十二萬美金,

        那公司至少要求你產生一年24萬的價值,算一下一小時大約是125美金,

        也就是說公司要要求你做每小時125美金以上的工作才會回本。

        怎麼做?挑重點,挑高價值的工作,有效率地做。

        台灣呢?公司要求你一小時有30美金的生產力就夠本了。

        於是要台灣精算人員土法煉鋼也沒關係囉。

        長期被要求一小時產值125以上 vs 長期被要求一小時產值30以上

        在經過數年之後,生產力當然是天差地遠。

    第二個是工作支援和軟硬辦公環境設備

        美國因為精算人員貴,不可以讓他們隨意浪費時間,於是會請好的

        行政人員全力支持,也會給精算人員良好辦公室環境和軟硬體設備。

        這邊要特別提的是軟體套件。有些精算工作已經被寫成軟體套件,

        美國因為精算人員貴,軟體套件相對較為便宜,於是採購軟體套

        件變成是主流選擇,精算人員就可以用更強大的工具有效率的完成

        高階精算工作。

        台灣的話,就是叫精算人員土法煉鋼,重新做別人已經完成的功能,

        同時還要打雜。

        台灣就是因為人力太便宜,所以人找進來3/4時間浪費亂用也沒關係,

        和台灣土地徵收價格過低,徵收進來3/4閒置養蚊子、

        蓋蚊子管無妨是一樣道理。

    第三個是教育訓練,分成考試seminar和工作seminar,

        美國人貴,所以教育訓練相對便宜,比方說

        要五千美金,這在美國是半個月的薪水,在台灣是兩個月,

        顯然在美國受訓的機會大許多。

        多年來一直接受高價值訓練的美國精算師

            vs

        每年只能上SOA人道援助救濟特價seminar的台灣精算奴

        要是累積個五年十年,你看有差多少?

        至於對FSA考試很有效率的seminar,

        像這個,你參加1095美金的線上課程,

        在美國公司會因為不需要付你機票飯店錢而感到很高興,

        只要你考得過就爽快買單,書籍教材也是一人一套。

         (台灣的慣例是公司可能有一套,而且不會每次都買新版,

          有的時候還要去其他公司借。)

        在台灣,你做夢吧,不然就拿自己local pay自費上課,

        考完也只加薪一點點。local pay讓你連支付考試成本,

        都處在比美國精算人員更悲慘不利的情境。

    觀念

        你有聽過美國人很笨的說法吧?不管美國人是不是真的笨,

        美國的工作手冊建立的目標就是讓笨蛋看了也會做,

        所以美國的知識管理做得非常非常好,documentation很完整,

        在裡面工作的人因此而吸收前人的經驗能不斷的累積成長。

        台灣的local pay公司只會塞一堆工作讓你還沒做文件就已經加班,

        還要你做工作手冊。出來的工作手冊,能有多少用處?

        經驗不能有效傳承的結果,在裡面工作的人自然成長緩慢。

        累積五年十年,會差多少?

        美國和台灣的另一點不同是,美國只要用了一個人,

        就會假設他會對組織帶來貢獻,該給的資源就會給;

        一旦表現不好就直接淘汰。

        台灣則是用了一個人還懷疑老半天,

        你頭三年要表現得像隻忠狗才會給你資源。

        表現不好也不會被輕易裁員,反正大家吃大鍋飯。

        有能力的人在職涯的前中段當然是去美國發展比較好。

        台灣只適合有國際經驗後出一張嘴養老。

    FSA佔精算部門的比例

    會影響到兩件事,一是考試二是工作。

        美國大約有一半的精算人員都是FSA,於是如果資淺員工要考試的話,

        資深員工都有辦法cover工作,因為當年他們考試的時候,

        他們的前輩也是這樣罩他們的;代代相傳,良性循環,

        每個人都站在巨人的肩膀上望向更高更遠的地方

        而台灣FSA很少,FSA領的錢還不如美國剛大學畢業的菜鳥之外,

        你在台灣想早點考FSA,馬上就會面臨一堆非FSA的亂箭:

        為什麼他可以一直考試我卻要工作?工作加薪加那麼一點比考試還少?

        “憑什麼他就能比我爽?有比我”當年”更多資源?”

        一直待在台灣的環境鬥,真的太累了,鬥到全身傷頂多local pay FSA。

        薪水還不如國外大學剛畢業,不如早早出國一年抵十年,

        在國外練成一身功夫的FSA,再回台灣當高階。

        工作上,因為台灣FSA少,讀通FSA level專業知識的人少,

        在工作上瞎摸的人就多了。我舉個例子,不曉得台灣有多少人讀通

        Atkinson, Life Insurance Products and Finance

        和

        Lombardi, Valuation of Life Insurance Liabilities

        並負責pricing和valuation的?

        於是就有一堆人,在工作上碰到問題,想破頭一個禮拜還想不出來,

        其實書上就有寫看一個小時就解出來了。一小時vs.一星期,

        時間效率差幾十倍,

            那到底是有一堆global pay FSA的公司經營成本低?

            還是local pay精算奴為主的公司成本低?

        組織裡面FSA越多,大家在更高的基礎上討論更快解決工作上問題的

        機率越大,公司的經營成本才越低效率才越高。

        當然台灣local pay精算環境的經營者都希望奴工最好是讀精算比

        FSA還通,卻不去考試領甘願領低薪卻有超越FSA的工作能力,

        他們就繼續作夢吧!

回亞洲

    在美國待到有獨當一面能力的FSA之後,當然要想辦法回亞洲當高階主管,

    最好的點是東京和新加坡,這是亞洲兩個最進步的都市。各有優缺點,

    但生活品質佳、居住成本比香港低。

    ~~~~~~~~有沒有新加坡到台灣開瑜珈中心和獵人頭公司,

        增進大家健康和薪水,

        香港來台灣開房仲炒房讓大家都活不下去的八卦?

    辦法當然是透過之前講的head hunter幫你安排,

    或是在保險/再保公司的國際部,或顧問公司直接申請外派。

然後再回台灣做最高階,有機會的話再往上到大中華區、

亞太不含日本,甚至全球最頂尖的位置。

德國路線Yes

    去美國的問題是如果走碩士路線的話,成本相當高。

    如果學費對你來說是天大問題的話,不妨考慮德國。

    現在德國也開始集中資源重點發展某些研究所了,

    而且英文教學的相當多,學費又低。

    關於以德國替代美國的走法,你可以參考我寫的美國路線,

    自己設計屬於你的完全精算師之路。

中國路線No

    中國是世界上最大的歐美奢侈名牌消費大國,了唄?

    如果你有歐美經驗去當然是很好,去當歐美奢侈名牌,

    如果你以台灣身份去讀書,那就是台灣來的特種加分僑生實力不如本地人;

    如果你只有台灣經驗,台灣牌就是俗又大碗加免洗直到過勞死還繼續羞辱你。 

(不貼第九篇,因為它只是前面八篇的剪剪貼貼後的精華版,建議看完全部!)

完全精算師手冊一:

http://www.ptt.cc/bbs/SENIORHIGH/M.1306908567.A.438.html

完全精算師手冊二:

http://www.ptt.cc/bbs/SENIORHIGH/M.1306950850.A.FAF.html

完全精算師手冊三:

http://www.ptt.cc/bbs/SENIORHIGH/M.1307031912.A.AFC.html

完全精算師手冊四:

http://www.ptt.cc/bbs/SENIORHIGH/M.1307207034.A.31D.html

完全精算師手冊五:

http://disp.cc/b/27-2deg

完全精算師手冊六:

http://disp.cc/b/27-2deh

完全精算師手冊七:

https://disp.cc/b/27-2dei

完全精算師手冊八:

http://disp.cc/b/27-2dej

完全精算師手冊九:

http://disp.cc/b/27-2dek

Mathematical Physics

Mathematical Physics

力学,赵凯华和罗蔚茵编写的《新概念物理教程》力学部分
高等教育出版社
热学,赵凯华和罗蔚茵编写的《新概念物理教程》热学部分。
高等教育出版社
电磁学,赵凯华和陈熙谋编写的《电磁学》,高等教育出版社。
光学,赵凯华和钟锡华编写的《光学》,北京大学出版社

量子力学:曾谨言,《量子力学教程》,高等教育出版社出版
电动力学:郭硕鸿,《电动力学》,高等教育出版社出版。
理论力学:周伯衍, 《理论力学教程》高等教育出版社。
热力学与统计物理:汪志诚,《热力学与统计物理》,高等教育出版社出版。

谷超豪,李大潜,谭永基(?),沈纬熙,秦铁虎,是嘉鸿”数学物理方程”(上海科技) 

谷超豪,李大潜,陈恕行,谭永基(?), K文*,??? “数学物理方程”(人民教育?高等教育?) 

陈恕行,秦铁虎 “数学物理方程–方法导引” 

R. Courant, D. Hilbert “数学物理方法”(I,II) 

彼得罗夫斯基 “偏微分方程讲义” 

AMS Notice, vol. 44(1997), No.4, p.432 

AMS Notice, vol. 46(1999), No.10,p.1217 

O.A. Ladyzhenskaya “The Boudary Value Problems of Mathematical Physics” 

李大潜,秦铁虎 “物理学与偏微分方程”(高教) 

L.Bers, F. John, M. Scheter, “Partial Differential Equations” 

L.Steen, ed. “今日数学”(Mathematics Today) 

F. John “Partial Differential Equations” 

J. Rauch “Partial Differential Equations”(GTM128) 

M. Taylor “Partial Differential Equations I”(Applied Mathematical Sciences 115) 

L. Hormander “Linear Partial Differential Operators, I” 

伯克利物理教程或者Halliday和Resnick的physics(有中译版)。

当然了,还有大名鼎鼎Feynman的Feynman Lectures On Physics,

科学出版社新出的那套科大物理教材,是把普物和四大力学打通的上的。

科大的四大力学教材中沈惠川老师的《经典力学》,张永德老师的《量子力学》都是国内同类教材中最好的。

李书民,em   

科大老师还编过一本《大学物理解题诠释》,

大可去做《物理学大题典》7卷够你啃的。

符拉基米诺夫《偏微分方程习题集》

Landau,Mechanics(有中文版)

Goldstein,Classical Mechanics(有中文版)

Landau,The Classical Theory of Fields(有中文版)

Jackson,Classical Electrodynamics(有中文版)

Landau,Statistical Physics Part1(有中文版)

Kerson Huang,Statistical Mechanics

Landau,Quantum Mechanics(Non-relatisticTheory)(有中文版)

Greiner,Quantum Mechanics:A Introduction(有中文版)

黄昆《固体物理学》

Kittel,Introduction to Solid State Physics(有中文版)

费曼《费曼物理讲义》

玻恩《光学原理》

郑永令《力学》复旦大学出版社

张玉民《基础物理学教程———热学》中国科学技术大学出版社

胡有秋《电磁学》高等教育出版社

郭光灿《光学》高等教育出版社

徐克尊《近代物理学》高等教育出版社

漆安慎《力学》高等教育出版社

秦允豪《热学》高等教育出版社

赵凯华《电磁学》高等教育出版社

赵凯华《光学》高等教育出版社

杨福家《原子物理学》高等教育出版社

中国科大物理教研室《美国物理试题汇编》中国科学技术大学出版社

陈希孺《数理统计学教程》上海科技出版社

陈家鼎《数理统计学讲义》高等教育出版社

陆璇《数理统计基础》清华大学出版社

中国科学技术大学统计与金融系《数理统计习题集》中国科学技术大学讲义

金尚年《经典力学》复旦大学出版社

Landau,Mechanics,Heinemann

郭硕鸿《电动力学》(第二版)高等教育出版社

Jackson,Classical Electrodynamics

汪志诚《热力学?统计物理》高等教育出版社

Landau,Statistical Physics Part1,Heinemann 

张永德《量子力学讲义》中国科学技术大学讲义

Landau,Quantum Mechanics (Non-relatisticTheory),Heinemann

希尔伯特和柯朗的《数学物理方法》。

梁昆淼,郭敦仁和王竹溪的书

绿皮的《力学与热学》的上。热学选《力学与热学》的下。

赵凯华的《电磁学》。

赵凯华的《光学》,

朗道的《经典力学》。

郭硕鸿的《电动力学》就可以了,看

JACKSON的书需要很好的数学基础,关键是对位势形偏微分方程有相当的了解。

P.A.M DIRAC在1937年写过著名的《量子力学的原理》。

曾谨言的《量子力学I,II》和《量子力学习题集》。

有一本《Quan-tum Physics》对此详细地进行了讨论。

卢里的《粒子与场》。

如果对凝聚态理论感兴趣,你可以学统计力学。以朗道的书为上。

雷克老太太的《现代统计物理教程》。

黄昆的《固体物理》,这本书很好理解。

孙洪洲的《群论》就足够了。群论的内容大致是有限群和连续群两部份,前一部份和晶体的对称性直接相关,后一部份和角动量理论有关,学凝聚态的人做含有d或f电子的紧束缚方法时自然会用到。

马汉的《多粒子问题》(该有中译本了)或者

北大的《固体物理中格林函数方法》。

卡拉威的《固体理论》。

赵凯华的《光学》

量子光学的麻烦在于边界条件,一般量子场论的边界很简单,而量子光学就不是了。一个有限体系的量子光学性质是很有意思的问题。比如微腔中的光吸收和发射以及由此引申出的光子晶体中的若干问题。这里要分清光子晶体和人工电介质。光子晶体中存在量子效应,而人工电介质中没有。所以一个有三维人工周期机构工作在微波波段的陶瓷算不上光子晶体,只是人工电介质。

如果对核物理感兴趣,那我建议你多看看角动量理论或者群论的书。

实变函数和泛函分析的书最好的当属《REAL AND ABSTRACT ANALYSIS》

为了准备学微分几何,还要学一些拓朴和代数。

代数: 蓝以中的《高等代数教程》,

拓朴可以看《拓朴学基础》

陈维桓的《微分几何基础》

陈省身的《微分几何》了。

《数学物理中的微分形式》,

不过我建议找一本以特殊函数为工具,介绍李群的书。看过以后你就知道Bessel函数等那些在数理方法中学过的东西是何等重要。它们直接是对称性的反映,只不过那时你还小并没有认识这一点。学过这以后你知道量子力学真正关心的是什么了。原来量子力学做来做去是一种关于对称的理论。在这一理论中作为群的表示的基的波函数是次要的,而群本身和代表它的特征值才重要,而这些被物理量正是特征值。

融合量子论和广义相对论的方法,

” Advanced mathematical methods for scientists and engineers “,作者是Bender和Ozszag。是学习渐进方法(asymtotic 和 perturbation)的好书,从局部分析开始到全局分析,非常深入浅出

《数理统计学教程》陈希孺

《数理统计学讲义》陈家鼎

《数理统计基础》陆璇

《数理统计》赵选民

《数理统计习题集》中国科学技术大学统计与金融系

《Basic Partial Differential Equations》, D. Bleecker, G. Csordas 著, 李俊杰译,高等教育出版社,2008.

《数学物理方法》,柯朗、希尔伯特著。

费曼物理讲义

郎道的理论物理教程。

姜礼尚《数学物理方程讲义》高等教育出版社

《数学物理方程》谷超豪,李大潜等

《数学物理方程》柯朗

《数学物理方法》梁昆淼

《数学物理方程习题集》弗拉基米洛夫

General Physics

  1. M.S. Longair: Theoretical concepts in physics, 1986.
  2. Arnold Sommerfeld: Lectures on Theoretical Physics
  3. Richard Feynman: The Feynman lectures on Physics (3 vols)
  4. Jearle Walker: The Flying Circus of Physics
  5. There is the entire Landau and Lifshitz series.  
  6. The New Physics edited by Paul Davies.
  7. Richard Feynman: The Character of Physical Law
  8. David Mermin: Boojums all the way through: Communicating science in prosaic language
  9. Frank Wilczek and Betsy Devine: Longing for the Harmonies: Themes and variations from modern physics
  10. 10.Greg Egan: Permutation City

Classical Mechanics

  1. Herbert Goldstein: Classical Mechanics, 2nd ed, 1980.
  2. Introductory: The Feynman Lectures, vol 1.
  3. Keith Symon: Mechanics, 3rd ed., 1971 undergrad. level
  4. H. Corbin and P. Stehle: Classical Mechanics, 2nd ed., 1960
  5. V.I. Arnold: Mathematical methods of classical mechanics, translated by K. Vogtmann and A. Weinstein, 2nd ed., 1989. 
  6. R. Resnick and D. Halliday: Physics, vol 1, 4th Ed., 1993
  7. Marion & Thornton: Classical Dynamics of Particles and Systems, 2nd ed., 1970.
  8. A. Fetter and J. Walecka: Theoretical mechanics of particles and continua
  9. Kiran Gupta: Classical Mechanics of Particles and Rigid Bodies (1988)

Classical Electromagnetism

  1. Jackson: Classical Electrodynamics, 2nd ed., 1975
  2. Purcell: Berkeley Physics Series Vol 2.
  3. Chen, Min, Berkeley Physics problems with solutions.
  4. Reitz, Milford and Christy: Foundations of Electromagnetic Theory 4th ed., 1992
  5. Feynman: The Feynman Lectures, Vol. 2
  6. Lorrain & Corson: Electromagnetism, Principles and Applications, 1979
  7. Resnick and Halliday: Physics, vol 2, 4th ed., 1993
  8. Igor Irodov: Problems in Physics 
  9. William Smythe: Static and Dynamic Electricity, 3rd ed., 1968
  10. 10.Landau, Lifshitz, and Pitaevskii: Electrodynamics of Continuous Media, 2nd ed., 1984
  11. 11.Marion and Heald: Classical Electromagnetic Radiation, 2nd ed., 1980 

Quantum Mechanics

  1. QED: The strange theory of light and matter Richard Feynman.
  2. Cohen-Tannoudji: Quantum Mechanics I & II&, 1977.
  3. Liboff: Introductory Quantum Mechanics, 2nd ed., 1992
  4. Sakurai: Modern Quantum Mechanics, 1985
  5. Sakurai: Advanced Quantum Mechanics 1967
  6. J. Wheeler and W. Zurek (eds.): Quantum Theory and Measurement, 1983
  7. C. DeWitt and N. Graham: The Many Worlds Interpretation of Quantum Mechanics
  8. H. Everett: Theory of the Universal Wavefunction
  9. Bjorken and Drell: Relativistic Quantum Mechanics/ Relativistic Quantum Fields
  10. 10.Ryder: Quantum Field Theory, 1984
  11. 11.Guidry: Gauge Field Theories: an introduction with applications 1991
  12. 12.Messiah: Quantum Mechanics, 1961
  13. 13.Dirac: 
    a] Principles of QM, 4th ed., 1958
    b] Lectures in QM, 1964
    c] Lectures on Quantum Field Theory, 1966
  14. 14.Itzykson and Zuber: Quantum Field Theory, 1980
  15. 15.Slater: Quantum theory: Address, essays, lectures.
    note: Schiff, Bjorken and Drell, Fetter and Walecka, and Slater are all volumes in “International Series in pure and Applied Physics” published by McGraw-Hill.
  16. 16.Pierre Ramond: Field Theory: A Modern Primer, 2nd edition. Volume 74 in the FiP series.
  17. 17.Feynman: The Feynman Lectures, Vol. 3
  18. 18.Heitler & London: Quantum theory of molecules
  19. 19.J. Bell: Speakable and Unspeakable in Quantum Mechanics, 1987
  20. 20.Milonni: The quantum vacuum: an introduction to quantum electrodynamics 1994.
  21. 21.Holland: The Quantum Theory of Motion
  22. 22.John von Neumann: Mathematical foundations of quantum mechanics, 1955. 
  23. 23.Schiff: Quantum Mechanics, 3rd ed., 1968
  24. 24.Eisberg and Resnick: Quantum Physics of Atoms, Molecules, Solids, Nuclei, and Particles, 2nd ed., 1985. 
  25. 25.David Saxon: Elementary Quantum Mechanics
  26. 26.Bethe and Jackiw: Intermediate Quantum Mechanics
  27. 27.P.W.Atkins: Quanta: A Handbook of concepts
  28. 28.James Peebles: Quantum Mechanics (1993)

Statistical Mechanics and Entropy

  1. David Chandler: Introduction to Modern Statistical Mechanics, 1987
  2. R. Tolman: Prinicples of Statistical Mechanics. Dover
  3. Kittel & Kroemer: Statistical Thermodynamics
  4. Reif: Principles of statistical and thermal physics.
  5. Felix Bloch: Fundamentals of Statistical Mechanics.
  6. Radu Balescu: Statistical Physics
  7. Abrikosov, Gorkov, and Dyzaloshinski: Methods of Quantum Field Theory in Statistical Physics
  8. Huw Price: Time’s Arrow and Archimedes’ Point
  9. Thermodynamics, by H. Callen.
  10. 10.Statistical Mechanics, by R. K. Pathria
  11. 11.Hydrodynamic Fluctuations, Broken Symmetry, and Correlation Functions, by D. Forster
  12. 12.Introduction to Phase Transitions and Critical Phenomena, by H. E. Stanley
  13. 13.Modern Theory of Critical Phenomena, by S. K. Ma
  14. 14.Lectures on Phase Transitions and the Renormalization Group, by N. Goldenfeld

Condensed Matter

  1. Charles Kittel: Introduction to Solid State Physics (ISSP),
  2. Ashcroft and Mermin: Solid State Physics,
  3. Charles Kittel: Quantum Theory of Solids.
  4. Solid State Theory, by W. A. Harrison 
  5. Theory of Solids, by Ziman.
  6. Fundamentals of the Theory of Metals, by Abrikosov
  7. Many-Particle Physics, G. Mahan.

Special Relativity

  1. Taylor and Wheeler: Spacetime Physics Still the best introduction out there.
  2. Relativity: Einstein’s popular exposition.
  3. Wolfgang Rindler: Essential Relativity.  Springer 1977
  4. A.P. French: Special Relativity
  5. Abraham Pais: Subtle is the Lord: The Science and Life of Albert Einstein
  6. Special Relativity and its Experimental Foundations Yuan Zhong Zhang

Particle Physics

  1. Kerson Huang: Quarks, leptons & gauge fields, World Scientific, 1982.
  2. L. B. Okun: Leptons and quarks, translated from Russian by V. I. Kisin, North-Holland, 1982.
  3. T. D. Lee: Particle physics and introduction to field theory.
  4. Itzykson: Particle Physics
  5. Bjorken & Drell: Relativistic Quantum Mechanics
  6. Francis Halzen & Alan D. Martin: Quarks & Leptons,
  7. Donald H. Perkins: Introduction to high energy physics
  8. Close, Marten, and Sutton: The Particle Explosion 
  9. Christine Sutton: Spaceship Neutrino
  10. 10.Mandl, Shaw: Quantum Field Theory
  11. 11.F.Gross: Relativistic Quantum Mechanics and Field Theory
  12. 12.S. Weinberg: The Quantum Theory of Fields, Vol I,II, 1995 
  13. 13.M.B. Green, J.H. Schwarz, E. Witten: Superstring Theory (2 vols)
  14. 14.M. Kaku: Strings, Conformal Fields and Topology
  15. 15.Superstrings: A Theory of Everything ed P.C.W. Davies
  16. 16.A Pais: Inward Bound 
  17. 17.R.P. Crease, C.C. Mann: The Second Creation 1996
  18. 18.L. Lederman, D. Teresi: The God Particle: If the Universe Is the Answer, What Is the Question? 2006

General Relativity

  1. Meisner, Thorne and Wheeler: Gravitation W. H. Freeman & Co., San Francisco 1973
  2. Robert M. Wald: Space, Time, and Gravity: the Theory of the Big Bang and Black Holes.
  3. Schutz: A First Course in General Relativity.
  4. Weinberg: Gravitation and Cosmology 
  5. Hans Ohanian: Gravitation & Spacetime (recently back in print)
  6. Robert Wald: General Relativity
  7. Clifford Will: Was Einstein Right? Putting General Relativity to the Test
  8. Kip Thorne: Black Holes and Time Warps: Einstein’s Outrageous Legacy

Mathematical Methods

  1. Morse and Feshbach: Methods of Theoretical Physics.  
  2. Mathews and Walker: Mathematical Methods of Physics.  An absolute joy for those who 
  3. Arfken: Mathematical Methods for Physicists Academic Press
  4. Zwillinger: Handbook of Differential Equations. Academic Press
  5. Gradshteyn and Ryzhik: Table of Integrals, Series, and Products Academic
  6. F.W. Byron and R. Fuller: Mathematics of Classical and Quantum Physics (2 vols) 

Nuclear Physics

  1. Preston and Bhaduri: Structure of the Nucleus
  2. Blatt and Weisskopf: Theoretical Nuclear Physics
  3. DeShalit and Feshbach: Theoretical Nuclear Physics
  4. Satchler: Direct Nuclear Reactions
  5. Walecka: Theoretical Nuclear and Subnuclear Physics (1995)
  6. Krane: Introductory nuclear physics

Cosmology

  1. J. V. Narlikar: Introduction to Cosmology.1983 Jones & Bartlett Publ.
  2. Hawking: A Brief History of Time 
  3. Weinberg: First Three Minutes
  4. Timothy Ferris: Coming of Age in the Milky Way and The Whole Shebang
  5. Kolb and Turner: The Early Universe.
  6. Peebles: Principles of Physical Cosmology. Comprehensive, and on the whole it’s quite a 
  7. Black Holes and Warped Spacetime, by William J. Kaufmann III.
  8. M.V. Berry: Principles of Cosmology and Gravitation
  9. Dennis Overbye: Lonely Hearts of the Cosmos The unfinished history of converge on 
  10. 10.Joseph Silk: The Big Bang
  11. 11.Bubbles, voids, and bumps in time: the new cosmology edited by James Cornell.
  12. 12.T. Padmanabhan: Structure formation in the universe
  13. 13.P.J.E. Peebles: The large-scale structure of the universe
  14. 14.Andrzej Krasinski: Inhomogeneous Cosmological Models
  15. 15.Alan Lightman and Roberta Brawer: Origins: The lives and worlds of modern cosmologists, 1990

Astronomy

  1. Hannu Karttunen et al. (eds.): Fundamental Astronomy.
  2. Pasachoff: Contemporary Astronomy
  3. Frank Shu: The physical universe: an introduction to astronomy
  4. Kenneth R. Lang: Astrophysical formulae: a compendium for the physicist and astrophysicist

Plasma Physics

(See Robert Heeter’s sci.physics.fusion FAQ for details)

Numerical Methods/Simulations

  1. Johnson and Rees: Numerical Analysis Addison Wesley
  2. Numerical Recipes in X (X=c,fortran,pascal,etc) Tueklosky and Press
  3. Young and Gregory: A survey of Numerical Mathematics Dover 2 volumes.
  4. Hockney and Eastwood: Computer Simulation Using Particles Adam Hilger
  5. Birdsall and Langdon: Plasma Physics via Computer Simulations
  6. Tajima: Computational Plasma Physics: With Applications to Fusion and Astrophysics Addison Wesley Frontiers in physics Series.

Fluid Dynamics

  1. D.J. Tritton: Physical Fluid Dynamics
  2. G.K. Batchelor: Introduction to Fluid Dynamics
  3. S. Chandrasekhar: Hydrodynamics and Hydromagnetic Stability
  4. Segel: Mathematics Applied to Continuum Mechanics Dover.

Nonlinear Dynamics, Complexity, and Chaos

There is a FAQ posted regularly to sci.nonlinear.

  1. Prigogine: Exploring Complexity
  2. Guckenheimer and Holmes: Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields Springer
  3. Lichtenberg, A. J. and M. A. Lieberman (1982): Regular and Stochastic Motion.  New York, Springer-Verlag.
  4. Ioos and Joseph: Elementary Stability and Bifurcation Theory.  New York, Springer.
  5. Heinz Pagels: The Dreams Of Reason
  6. M. Mitchell Waldrop: Complexity

Optics (Classical and Quantum), Lasers

  1. Max Born and Emil Wolf: Principles of Optics: Electromagnetic Theory of Propagation
    Standard reference.
  2. Sommerfeld: For the more classically minded.
  3. Allen and Eberly: Optical Resonance and Two-Level Atoms.
  4. Goodman: Introduction to Fourier Optics.
  5. Quantum Optics and Electronics (Les Houches Summer School 1963 or 1964, but someone has claimed that Gordon and Breach, NY, are going to republish it in 1995), 
  6. Sargent, Scully, & Lamb: Laser Physics
  7. Yariv: Quantum Electronics
  8. Siegman: Lasers
  9. Shen: The Principles of Nonlinear Optics
  10. 10.Meystre & Sargent: Elements of Quantum Optics
  11. 11.Cohen-Tannoudji, Dupont-Roc, & Grynberg: Photons, Atoms and Atom-Photon Interactions.
  12. 12.Hecht: Optics 
  13. 13.Practical Holography by Graham Saxby, Prentice Hall: New York; 1988.

Mathematical Physics

  1. Yvonne Choquet-Bruhat, Cecile DeWitt-Morette, and Margaret Dillard-Bleick: Analysis, manifolds, and physics (2 volumes)
  2. Jean Dieudonne: A panorama of pure mathematics, as seen by N. Bourbaki, translated by I.G. Macdonald.
  3. Robert Hermann: Lie groups for physicists, Benjamin-Cummings, 1966.
  4. George Mackey: Quantum mechanics from the point of view of the theory of group representations, Mathematical Sciences Research Institute, 1984.
  5. George Mackey: Unitary group representations in physics, probability, and number theory.
  6. Charles Nash and S. Sen: Topology and geometry for physicists.
  7. B. Booss and D.D. Bleecker: Topology and analysis: the Atiyah-Singer index formula and gauge-theoretic physics.
  8. Bamberg and S. Sternberg: A Course of Mathematics for Students of Physics
  9. Bishop & Goldberg: Tensor Analysis on Manifolds.
  10. 10.Flanders: Differential Forms with applications to the Physical Sciences.
  11. 11.Dodson & Poston: Tensor Geometry.
  12. 12.von Westenholz: Differential forms in Mathematical Physics.
  13. 13.Abraham, Marsden & Ratiu: Manifolds, Tensor Analysis and Applications.
  14. 14.M. Nakahara: Topology, Geometry and Physics.
  15. 15.Morandi: The Role of Topology in Classical and Quantum Physics
  16. 16.Singer, Thorpe: Lecture Notes on Elementary Topology and Geometry
  17. 17.L. Kauffman: Knots and Physics, World Scientific, Singapore, 1991.
  18. 18.C. Yang and M. Ge: Braid group, Knot Theory & Statistical Mechanics.
  19. 19.D. Kastler: C-algebras and their applications to Statistical Mechanics and Quantum Field Theory.
  20. 20.Courant and Hilbert: Methods of Mathematical Physics Wiley
  21. 21.Cecille Dewitt is publishing a book on manifolds that should be out soon (maybe already 
  22. 22.Howard Georgi: Lie Groups for Particle Phyiscs Addison Wesley Frontiers in Physics Series.
  23. 23.Synge and Schild.

Atomic Physics

  1. Max Born: Atomic Physics
  2. Gerhard Herzberg: Atomic spectra and atomic structure, Translated with the co-operation 
  3. E. U. Condon and G. H. Shortley: The theory of atomic spectra, CUP 1951
  4. G. K. Woodgate: Elementary atomic structure, 2d ed. Oxford: New York: Clarendon Press, Oxford University Press, 1983, c 1980
  5. Alan Corney: Atomic and laser spectroscopy, Oxford, New York: Clarendon Press, 1977

Low Temperature Physics, Superconductivity

  1. The Theory of Quantum Liquids, by D. Pines and P. Nozieres
  2. Superconductivity of Metals and Alloys, P. G. DeGennes A classic introduction.
  3. Theory of Superconductivity, J. R. Schrieffer
  4. Superconductivity, M. Tinkham
  5. Experimental techniques in low-temperature physics, by Guy K. White.
    This is considered by many as a “bible” for those working in experimental low-temperature physics.

Mathematical Physics

Mechanics, Zhao, kaihua and Luo Weiyin, prepared by the new concept physics tutorial mechanics
Higher education press
Thermal, Zhao, kaihua and Luo Weiyin prepared by the thermal part of the new concept physics.
Higher education press
Electromagnetism, prepared by Zhao, kaihua and Chen Ximou of the electromagnetics, higher education press.
Optics, prepared by Zhao, kaihua and Zhong Xihua of the optics, Peking University Press

Quantum mechanics: careful, the course in quantum mechanics, the higher education press
Electrodynamics: Guo Shuohong, the electrodynamics of higher education publishing.
Theoretical mechanics: Zhou Boyan , Higher education press of the course of theoretical mechanics. 
Thermodynamics and statistical physics: Wang Zhicheng, the thermodynamics and statistical physics, higher education press.

Gu chaohao , Li Daqian , Tan Yongji (?), Shen Wei Xian , Qin tiehu , Is jiahong ” Equations of mathematical physics “( The Shanghai Science and technology)

Gu chaohao , Li Daqian , Chen shuxing , Tan Yongji (?), K *,??? ” Equations of mathematical physics “( people’s education ? Higher education?)

Chen shuxing , Qin tiehu ” Equations of mathematical physics — Method guidance”

R.Courant,D.Hilbert” methods of mathematical physics ” (I, II)

Petrovsky ” Lectures on partial differential equations”

AMS Notice, vol. 44(1997), No.4, p.432

AMS Notice, vol. 46(1999), No.10,p.1217

O.A. Ladyzhenskaya “The Boudary Value Problems of Mathematical Physics”

Li Daqian , Qin tiehu ” Physics and partial differential equations “( Higher education)

L.Bers, F. John, M. Scheter, “Partial Differential Equations”

L.Steen, ed. ” Mathematics today “(Mathematics Today)

F. John “Partial Differential Equations”

J. Rauch “Partial Differential Equations”(GTM128)

M. Taylor “Partial Differential Equations I”(Applied Mathematical Sciences 115)

L. Hormander “Linear Partial Differential Operators, I”

Berkeley Physics or Halliday Resnick physics (Translated version).

Of course, there is the famous Feynman Feynman Lectures On Physics ,

Science Press new set of University physics textbooks, is a general and four mechanics on the side through.

HKUST four Shen Huichuan teacher of the classical mechanics in mechanics textbooks, teacher Zhang Yong-de of the quantum mechanics are similar materials in the country’s best.

Li Shumin, em

University teacher who has written a book on Physics problem-solving of interpretation,

Can go to do the physics problem code 7 Volume is sufficient for you to bite.

Fu Laji Anatoly perminov of the partial differential equation problem sets

Landau, Mechanics ( the Chinese version)

Goldstein, Classical Mechanics ( the Chinese version)

Landau, The Classical Theory of Fields ( the Chinese version)

Jackson, Classical Electrodynamics ( the Chinese version)

Landau, Statistical Physics Part1 ( Chinese version)

Kerson Huang,Statistical Mechanics

Landau, Quantum Mechanics (Non-relatisticTheory) ( Chinese version)

Greiner, Quantum Mechanics: Introduction ( Chinese version)

Huang Kun of the solid state physics

Kittel, Introduction to Solid State Physics ( Chinese version)

Feynman Feynman lectures on Physics

Born of the optical principles

Zheng Yongling mechanics, Fudan University Press

Zhang Yumin—the basic physics tutorial thermal University of science and technology of China press

Hu Youqiu of the electromagnetism of the higher education press

Guo Guangcan optics, higher education press

Xu kezhun modern physics, higher education press

Paint An Shen of the mechanics of the higher education press

Qin Yunhao thermal, higher education press

Zhao, kaihua electromagnetics, higher education press

Zhao, kaihua optics, higher education press

Yang fujia atomic physics, higher education press

Physics Department of the American physics ustc compilation of University of science and technology of China press

Chen xiru course in mathematical statistics, Shanghai Science and technology press

Chen Jiading lectures on mathematical statistics, higher education press

Lu Xuan of the statistical basis of the Tsinghua University Press

Chinese University of science and technology statistics and Department of finance problem sets of mathematical statistics, China University of science and technology lecture

Jin Shangnian of the classical mechanics of the Fudan University Press

Landau , Mechanics , Heinemann

Guo Shuohong electrodynamics, (Second Edition) by higher education press

Jackson , Classical Electrodynamics

Wang Zhicheng of the thermodynamic ? Statistical physics higher education press

Landau , Statistical Physics Part1 , Heinemann

Zhang Yong-de lectures on quantum mechanics lectures on China University of science and technology

Landau , Quantum Mechanics (Non-relatisticTheory) , Heinemann

Hilbert and Ke Lang of the methods of mathematical physics.

Liang Kunmiao, Guo d r and Wang Zhuxi’s book

On the green of the Mechanics and Thermodynamics. Under the thermal separation of the mechanical and thermal.

Zhao, kaihua of the electromagnetism.

Zhao, kaihua’s optics,

Landau of the classical mechanics.

Guo Shuohong electrodynamics, can see

JACKSON Books need very good mathematical basis, the key is to position has considerable knowledge of partial differential equations.

P.A.M DIRAC 1937 Years wrote the famous principles of quantum mechanics.

Would like to speak of the quantum mechanics I , II And the quantum mechanics problem sets .

There is a copy of the Quan-tum Physics This is discussed in detail.

Lurie of the particle and field.

If interested in condensed matter theory, statistical mechanics you can learn. Landau’s book is on.

Lady Lake’s modern course in statistical physics.

Huang Kun of the solid state physics, this book is easy to understand.

Sun Hongzhou group theory, it is enough. Briefly, group theory is a finite group and group of two consecutive parts, front part and the symmetry of the Crystal is directly related to the latter part and angular momentum theory, condensed matter people doing d or f e’s tight-binding method will be used.

Mahan of the many-particle problem (the translation) or

North of the Green’s function methods in solid state physics .

Callaway of the solid state theory.

Zhao, kaihua’s optics

Trouble boundary condition in quantum optics, General boundary quantum field theory is very simple, and quantum optics are not. A quantum optical properties of finite system is a very interesting question. Such as micro-cavity light absorption and emission and hence the photon crystals in several issues. To distinguish artificial dielectric Photonic Crystal and here. There are quantum effects in Photonic crystals, and no artificial dielectric. So a three dimensional artificial cycle working ceramic not Photonic crystals in microwave band, just artificial dielectric.

If interested in nuclear physics, then I suggest that you look more angular momentum theory or group theory book.

Real variable function theory and functional analysis, the book is the best of the REAL AND ABSTRACT ANALYSIS 》

In order to prepare for the differential geometry, to learn some topology and algebra.

Algebra : Blue’s course in advanced algebra,

Topology can be seen the basis of topology

Chen Weihuan the fundamentals of differential geometry

Shiing-Shen Chern of the differential geometry.

Of the differential forms in mathematical physics,

But I would suggest looking for a special function as a tool, introduces the book of lie groups. Read, then you know Bessel functions, such as those in the mathematical methods learned how important it is. They directly reflect the symmetry of, but when you are young and do not realize it. Learned this after you know what quantum mechanics is of real concern. Quantum mechanics is a theory about the symmetry. In the theory of group representations of wave function of the base is less important, and the group itself and on behalf of its eigenvalues are important, and these are characteristic values of physical quantities.

Fusion methods of quantum theory and general relativity,

” Advanced mathematical methods for scientists and engineers ” , The author is Bender Ozszag 。 Is a progressive learning methods (asymtotic andperturbation) good book , from the beginning to the global analysis of local analysis , very easy

The course in mathematical statistics, Chen xiru

The lectures on mathematical statistics, Chen Jiading

The fundamentals of mathematical statistics Lu Xuan

Zhao of the mathematical statistics voters

The mathematical statistic problem set Chinese University of science and technology statistics and Department of finance

《 Basic Partial Differential Equations 》 , D. Bleecker, G. Csordas The , Lee Chun kit, and higher education press, 2008.

Of the methods of mathematical physics, r.Courant, Hilbert with.

Feynman lectures on Physics

I.d.Landau theoretical physics tutorial.

Jiang lishang lectures on the equations of mathematical physics higher education press

Gu chaohao of the equations of mathematical physics, Li Daqian,

The equations of mathematical physics, r.Courant

The methods of mathematical physics, Liang Kunmiao

Of the equations of mathematical physics problem set fulajimiluofu

General Physics

1. M.S. Longair: Theoretical concepts in physics, 1986.

2. Arnold Sommerfeld: Lectures on Theoretical Physics

3. Richard Feynman: The Feynman lectures on Physics (3 vols)

4. Jearle Walker: The Flying Circus of Physics

5. There is the entire Landau and Lifshitz series.

6. The New Physics edited by Paul Davies.

7. Richard Feynman: The Character of Physical Law

8. David Mermin: Boojums all the way through: Communicating science in prosaic language

9. Frank Wilczek and Betsy Devine: Longing for the Harmonies: Themes and variations from modern physics

10.                       Greg Egan: Permutation City

Classical Mechanics

1. Herbert Goldstein: Classical Mechanics, 2nd ed, 1980.

2. Introductory: The Feynman Lectures, vol 1.

3. Keith Symon: Mechanics, 3rd ed., 1971 undergrad. level

4. H. Corbin and P. Stehle: Classical Mechanics, 2nd ed., 1960

5. V.I. Arnold: Mathematical methods of classical mechanics, translated by K. Vogtmann and A. Weinstein, 2nd ed., 1989.

6. R. Resnick and D. Halliday: Physics, vol 1, 4th Ed., 1993

7. Marion & Thornton: Classical Dynamics of Particles and Systems, 2nd ed., 1970.

8. A. Fetter and J. Walecka: Theoretical mechanics of particles and continua

9.    Kiran Gupta: Classical Mechanics of Particles and Rigid Bodies (1988)

Classical Electromagnetism

1. Jackson: Classical Electrodynamics, 2nd ed., 1975

2. Purcell: Berkeley Physics Series Vol 2.

3. Chen, Min, Berkeley Physics problems with solutions.

4. Reitz, Milford and Christy: Foundations of Electromagnetic Theory 4th ed., 1992

5. Feynman: The Feynman Lectures, Vol. 2

6. Lorrain & Corson: Electromagnetism, Principles and Applications, 1979

7. Resnick and Halliday: Physics, vol 2, 4th ed., 1993

8. Igor Irodov: Problems in Physics

9. William Smythe: Static and Dynamic Electricity, 3rd ed., 1968

10. Landau, Lifshitz, and Pitaevskii: Electrodynamics of Continuous Media, 2nd ed., 1984

11.                       Marion and Heald: Classical Electromagnetic Radiation, 2nd ed., 1980 

Quantum Mechanics

1. QED: The strange theory of light and matter Richard Feynman.

2. Cohen-Tannoudji: Quantum Mechanics I & II&, 1977.

3. Liboff: Introductory Quantum Mechanics, 2nd ed., 1992

4. Sakurai: Modern Quantum Mechanics, 1985

5. Sakurai: Advanced Quantum Mechanics 1967

6. J. Wheeler and W. Zurek (eds.): Quantum Theory and Measurement, 1983

7. C. DeWitt and N. Graham: The Many Worlds Interpretation of Quantum Mechanics

8. H. Everett: Theory of the Universal Wavefunction

9. Bjorken and Drell: Relativistic Quantum Mechanics/ Relativistic Quantum Fields

10. Ryder: Quantum Field Theory, 1984

11. Guidry: Gauge Field Theories: an introduction with applications 1991

12. Messiah: Quantum Mechanics, 1961

13.                       Dirac: 
a] Principles of QM, 4th ed., 1958
b] Lectures in QM, 1964
c] Lectures on Quantum Field Theory, 1966

14. Itzykson and Zuber: Quantum Field Theory, 1980

15.                       Slater: Quantum theory: Address, essays, lectures.
note: Schiff, Bjorken and Drell, Fetter and Walecka, and Slater are all volumes in “International Series in pure and Applied Physics” published by McGraw-Hill.

16. Pierre Ramond: Field Theory: A Modern Primer, 2nd edition. Volume 74 in the FiP series.

17. Feynman: The Feynman Lectures, Vol. 3

18. Heitler & London: Quantum theory of molecules

19. J. Bell: Speakable and Unspeakable in Quantum Mechanics, 1987

20. Milonni: The quantum vacuum: an introduction to quantum electrodynamics 1994.

21. Holland: The Quantum Theory of Motion

22. John von Neumann: Mathematical foundations of quantum mechanics, 1955.

23. Schiff: Quantum Mechanics, 3rd ed., 1968

24. Eisberg and Resnick: Quantum Physics of Atoms, Molecules, Solids, Nuclei, and Particles, 2nd ed., 1985.

25. David Saxon: Elementary Quantum Mechanics

26. Bethe and Jackiw: Intermediate Quantum Mechanics

27. P.W.Atkins: Quanta: A Handbook of concepts

28.                       James Peebles: Quantum Mechanics (1993)

Statistical Mechanics and Entropy

1. David Chandler: Introduction to Modern Statistical Mechanics, 1987

2. R. Tolman: Prinicples of Statistical Mechanics. Dover

3. Kittel & Kroemer: Statistical Thermodynamics

4.    Reif: Principles of statistical and thermal physics.

5. Felix Bloch: Fundamentals of Statistical Mechanics.

6. Radu Balescu: Statistical Physics

7. Abrikosov, Gorkov, and Dyzaloshinski: Methods of Quantum Field Theory in Statistical Physics

8. Huw Price: Time’s Arrow and Archimedes’ Point

9. Thermodynamics , by H. Callen.

10. Statistical Mechanics , by R. K. Pathria

11. Hydrodynamic Fluctuations, Broken Symmetry, and Correlation Functions , by D. Forster

12. Introduction to Phase Transitions and Critical Phenomena , by H. E. Stanley

13. Modern Theory of Critical Phenomena , by S. K. Ma

14. Lectures on Phase Transitions and the Renormalization Group , by N. Goldenfeld

Condensed Matter

1. Charles Kittel: Introduction to Solid State Physics (ISSP),

2. Ashcroft and Mermin: Solid State Physics,

3. Charles Kittel: Quantum Theory of Solids.

4. Solid State Theory , by W. A. Harrison

5. Theory of Solids , by Ziman.

6. Fundamentals of the Theory of Metals , by Abrikosov

7. Many-Particle Physics , G. Mahan.

Special Relativity

1. Taylor and Wheeler: Spacetime Physics Still the best introduction out there.

2. Relativity : Einstein’s popular exposition.

3. Wolfgang Rindler: Essential Relativity . Springer 1977

4. A.P. French: Special Relativity

5. Abraham Pais: Subtle is the Lord: The Science and Life of Albert Einstein

6. Special Relativity and its Experimental Foundations Yuan Zhong Zhang

Particle Physics

1. Kerson Huang: Quarks, leptons & gauge fields, World Scientific, 1982.

2. L. B. Okun: Leptons and quarks, translated from Russian by V. I. Kisin, North-Holland, 1982.

3. T. D. Lee: Particle physics and introduction to field theory.

4. Itzykson: Particle Physics

5. Bjorken & Drell: Relativistic Quantum Mechanics

6. Francis Halzen & Alan D. Martin: Quarks & Leptons,

7. Donald H. Perkins: Introduction to high energy physics

8. Close, Marten, and Sutton: The Particle Explosion

9. Christine Sutton: Spaceship Neutrino

10. Mandl, Shaw: Quantum Field Theory

11. F.Gross: Relativistic Quantum Mechanics and Field Theory

12. S. Weinberg: The Quantum Theory of Fields, Vol I,II, 1995

13. M.B. Green, J.H. Schwarz, E. Witten: Superstring Theory (2 vols)

14. M. Kaku: Strings, Conformal Fields and Topology

15. Superstrings: A Theory of Everything ed P.C.W. Davies

16. A Pais: Inward Bound

17. R.P. Crease, C.C. Mann: The Second Creation 1996

18.                       L. Lederman, D. Teresi: The God Particle: If the Universe Is the Answer, What Is the Question? 2006

General Relativity

1. Meisner, Thorne and Wheeler: Gravitation W. H. Freeman & Co., San Francisco 1973

2. Robert M. Wald: Space, Time, and Gravity: the Theory of the Big Bang and Black Holes.

3. Schutz: A First Course in General Relativity.

4. Weinberg: Gravitation and Cosmology

5. Hans Ohanian: Gravitation & Spacetime (recently back in print)

6. Robert Wald: General Relativity

7. Clifford Will: Was Einstein Right? Putting General Relativity to the Test

8.    Kip Thorne: Black Holes and Time Warps: Einstein’s Outrageous Legacy

Mathematical Methods

1. Morse and Feshbach: Methods of Theoretical Physics.

2. Mathews and Walker: Mathematical Methods of Physics. An absolute joy for those who

3. Arfken: Mathematical Methods for Physicists Academic Press

4. Zwillinger: Handbook of Differential Equations. Academic Press

5. Gradshteyn and Ryzhik: Table of Integrals, Series, and Products Academic

6.    F.W. Byron and R. Fuller: Mathematics of Classical and Quantum Physics (2 vols) 

Nuclear Physics

1. Preston and Bhaduri: Structure of the Nucleus

2. Blatt and Weisskopf: Theoretical Nuclear Physics

3. DeShalit and Feshbach: Theoretical Nuclear Physics

4. Satchler: Direct Nuclear Reactions

5. Walecka: Theoretical Nuclear and Subnuclear Physics (1995)

6.    Krane: Introductory nuclear physics

Cosmology

1. J. V. Narlikar: Introduction to Cosmology.1983 Jones & Bartlett Publ.

2. Hawking: A Brief History of Time

3. Weinberg: First Three Minutes

4. Timothy Ferris: Coming of Age in the Milky Way and The Whole Shebang

5. Kolb and Turner: The Early Universe.

6. Peebles: Principles of Physical Cosmology. Comprehensive, and on the whole it’s quite a

7. Black Holes and Warped Spacetime , by William J. Kaufmann III.

8. M.V. Berry: Principles of Cosmology and Gravitation

9. Dennis Overbye: Lonely Hearts of the Cosmos The unfinished history of converge on

10. Joseph Silk: The Big Bang

11. Bubbles, voids, and bumps in time: the new cosmology edited by James Cornell.

12. T. Padmanabhan: Structure formation in the universe

13. P.J.E. Peebles: The large-scale structure of the universe

14. Andrzej Krasinski: Inhomogeneous Cosmological Models

15. Alan Lightman and Roberta Brawer: Origins: The lives and worlds of modern cosmologists, 1990

Astronomy

1. Hannu Karttunen et al. (eds.): Fundamental Astronomy.

2. Pasachoff: Contemporary Astronomy

3. Frank Shu: The physical universe: an introduction to astronomy

4.    Kenneth R. Lang: Astrophysical formulae: a compendium for the physicist and astrophysicist

Plasma Physics

(See Robert Heeter’s sci.physics.fusion FAQ for details)

Numerical Methods/Simulations

1. Johnson and Rees: Numerical Analysis Addison Wesley

2. Numerical Recipes in X (X=c,fortran,pascal,etc) Tueklosky and Press

3. Young and Gregory: A survey of Numerical Mathematics Dover 2 volumes.

4. Hockney and Eastwood: Computer Simulation Using Particles Adam Hilger

5. Birdsall and Langdon: Plasma Physics via Computer Simulations

6.    Tajima: Computational Plasma Physics: With Applications to Fusion and Astrophysics Addison Wesley Frontiers in physics Series.

Fluid Dynamics

1. D.J. Tritton: Physical Fluid Dynamics

2. G.K. Batchelor: Introduction to Fluid Dynamics

3. S. Chandrasekhar: Hydrodynamics and Hydromagnetic Stability

4. Segel: Mathematics Applied to Continuum Mechanics Dover.

Nonlinear Dynamics, Complexity, and Chaos

There is a FAQ posted regularly to sci.nonlinear.

1. Prigogine: Exploring Complexity

2. Guckenheimer and Holmes: Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields Springer

3. Lichtenberg, A. J. and M. A. Lieberman (1982): Regular and Stochastic Motion. New York, Springer-Verlag.

4. Ioos and Joseph: Elementary Stability and Bifurcation Theory. New York, Springer.

5. Heinz Pagels: The Dreams Of Reason

6.    M. Mitchell Waldrop: Complexity

Optics (Classical and Quantum), Lasers

1.    Max Born and Emil Wolf: Principles of Optics: Electromagnetic Theory of Propagation
Standard reference.

2. Sommerfeld: For the more classically minded.

3. Allen and Eberly: Optical Resonance and Two-Level Atoms.

4. Goodman: Introduction to Fourier Optics.

5. Quantum Optics and Electronics (Les Houches Summer School 1963 or 1964, but someone has claimed that Gordon and Breach, NY, are going to republish it in 1995),

6. Sargent, Scully, & Lamb: Laser Physics

7. Yariv: Quantum Electronics

8. Siegman: Lasers

9. Shen: The Principles of Nonlinear Optics

10. Meystre & Sargent: Elements of Quantum Optics

11. Cohen-Tannoudji, Dupont-Roc, & Grynberg: Photons, Atoms and Atom-Photon Interactions.

12. Hecht: Optics

13. Practical Holography by Graham Saxby, Prentice Hall: New York; 1988.

Mathematical Physics

1. Yvonne Choquet-Bruhat, Cecile DeWitt-Morette, and Margaret Dillard-Bleick: Analysis, manifolds, and physics (2 volumes)

2. Jean Dieudonne: A panorama of pure mathematics, as seen by N. Bourbaki, translated by I.G. Macdonald.

3. Robert Hermann: Lie groups for physicists, Benjamin-Cummings, 1966.

4. George Mackey: Quantum mechanics from the point of view of the theory of group representations, Mathematical Sciences Research Institute, 1984.

5. George Mackey: Unitary group representations in physics, probability, and number theory.

6. Charles Nash and S. Sen: Topology and geometry for physicists.

7. B. Booss and D.D. Bleecker: Topology and analysis: the Atiyah-Singer index formula and gauge-theoretic physics.

8. Bamberg and S. Sternberg: A Course of Mathematics for Students of Physics

9. Bishop & Goldberg: Tensor Analysis on Manifolds.

10. Flanders: Differential Forms with applications to the Physical Sciences.

11. Dodson & Poston: Tensor Geometry.

12. von Westenholz: Differential forms in Mathematical Physics.

13. Abraham, Marsden & Ratiu: Manifolds, Tensor Analysis and Applications.

14. M. Nakahara: Topology, Geometry and Physics.

15. Morandi: The Role of Topology in Classical and Quantum Physics

16. Singer, Thorpe: Lecture Notes on Elementary Topology and Geometry

17. L. Kauffman: Knots and Physics, World Scientific, Singapore, 1991.

18. C. Yang and M. Ge: Braid group, Knot Theory & Statistical Mechanics.

19. D. Kastler: C-algebras and their applications to Statistical Mechanics and Quantum Field Theory.

20. Courant and Hilbert: Methods of Mathematical Physics Wiley

21. Cecille Dewitt is publishing a book on manifolds that should be out soon (maybe already

22. Howard Georgi: Lie Groups for Particle Phyiscs Addison Wesley Frontiers in Physics Series.

23. Synge and Schild.

Atomic Physics

1. Max Born: Atomic Physics

2. Gerhard Herzberg: Atomic spectra and atomic structure, Translated with the co-operation

3. E. U. Condon and G. H. Shortley: The theory of atomic spectra, CUP 1951

4. G. K. Woodgate: Elementary atomic structure, 2d ed. Oxford: New York: Clarendon Press, Oxford University Press, 1983, c 1980

5.    Alan Corney: Atomic and laser spectroscopy, Oxford, New York: Clarendon Press, 1977

Low Temperature Physics, Superconductivity

1. The Theory of Quantum Liquids , by D. Pines and P. Nozieres

2. Superconductivity of Metals and Alloys , P. G. DeGennes A classic introduction.

3. Theory of Superconductivity , J. R. Schrieffer

4. Superconductivity , M. Tinkham

5. Experimental techniques in low-temperature physics , by Guy K. White.
This is considered by many as a “bible” for those working in experimental low-temperature physics.

Financial Mathematics

Financial Mathematics

微观金融学包括金融市场及金融机构研究、投资学金融工程学金融经济学、公司金融财务管理等方面,宏观金融学包括货币经济学货币银行学、国际金融学等方面,实证和数量方法包括数理金融学、金融计量经济学等方面,以下书目侧重数学基础、经济理论和数理金融学部分。

◎函数与分析

《什么是数学》,牛津丛书

●集合论

☆Paul R. Halmos,Naive Set Theory 朴素集合论(美)哈莫斯(好书,深入浅出但过简洁)

集合论(英文版)Thomas Jech(有深度)

Moschovakis,Notes on Set Theory

集合论基础(英文版)——图灵原版数学•统计学系列(美)恩德滕  

●数学分析

○微积分

☆Tom M. Apostol, Calculus vol Ⅰ&Ⅱ(数学家写的经典高等微积分教材/参考书,写法严谨,40年未再版,致力于更深刻的理解,去除微积分和数学分析间隔,衔接分析学、微分方程、线性代数、微分几何和概率论等的学习,学实分析的前奏,线性代数应用最好的多元微积分书,练习很棒,对初学者会难读难懂,但具有其他教材无法具备的优点。Stewart的书范围相同,也较简单。)

Carol and Robert Ash,The Calculus Tutoring Book(不错的微积分辅导教材)

★R. Courant, F. John, Introduction to Calculus and Analysis vol Ⅰ&Ⅱ(适合工科,物理和应用多)

Morris Kline,Calculus, an intuitive approach

Ron LarsonCalculus (With Analytic Geometry(微积分入门教材,难得的清晰简化,与Stewart同为流行教材)

《高等微积分》Lynn H.Loomis / Shlomo Stermberg

Morris Kline,Calculus: An Intuitive and Physical Approach(解释清晰的辅导教材)

Richard Silverman,Modern Calculus with Analytic Geometry

Michael,Spivak,Calculus(有趣味,适合数学系,读完它或者Stewart的就可以读Rudin的Principles of Mathematical Analysis或者Marsden的Elementary Classical Analysis,然后读Royden的Real Analysis学勒贝格积分和测度论或者Rudin的Functional Analysis学习巴拿赫和希尔伯特空间上的算子和谱理论)

James Stewart,Calculus(流行教材,适合理科及数学系,可以用Larson书补充,但解释比它略好,如果觉得难就用Larson的吧)

Earl W. Swokowski,Cengage Advantage Books: Calculus: The Classic Edition(适合工科)

Silvanus P. Thompson,Calculus Made Easy(适合微积分初学者,易读易懂)

○实分析(数学本科实变分析水平)(比较静态分析)

Understanding Analysis, Stephen Abbott,(实分析入门好书,虽然不面面俱到但清晰简明,Rudin, Bartle, Browder等人毕竟不擅于写入门书,多维讲得少)

★T. M. Apostol, Mathematical Analysis

Problems in Real Analysis 实分析习题集(美)阿里普兰斯,(美)伯金肖

☆《数学分析》方企勤,北大

胡适耕,实变函数

《分析学》Elliott H. Lieb / Michael Loss

★H. L. Royden, Real Analysis

W. Rudin, Principles of Mathematical Analysis

Elias M.Stein,Rami Shakarchi, Real Analysis:Measure Theory,Integration and Hilbert Spaces,实分析(英文版)

《数学分析八讲》辛钦

☆《数学分析新讲》张筑生,北大社 周民强,实变函数论,北大

☆周民强《数学分析》上海科技社

○测度论(与实变分析有重叠)

概率与测度论(英文版)(美)阿什(Ash.R.B.),(美)多朗-戴德(Doleans-Dade,C.A.)

☆Halmos,Measure Theory,测度论(英文版)(德)霍尔姆斯

○傅里叶分析(实变分析和小波分析各有一半)

小波分析导论(美)崔锦泰  

H. Davis, Fourier Series and Orthogonal Functions

★Folland,Real Analysis:Modern Techniques and Their Applications  

★Folland,Fourier Analysis and its Applications,数学物理方程:傅里叶分析及其应用(英文版)——时代教育.国外高校优秀教材精选 (美)傅兰德

傅里叶分析(英文版)——时代教育•国外高校优秀教材精选 (美)格拉法科斯

B. B. Hubbard, The World According to Wavelets: The Story of a Mathematical Technique in the Making

Katanelson,An Introduction to Harmonic Analysis

R. T. Seeley, An Introduction to Fourier Series and Integrals

★Stein,Shakarchi,Fourier Analysis:An Introduction

○复分析(数学本科复变函数水平)

L. V. Ahlfors, Complex Analysis ,复分析——华章数学译丛,(美)阿尔福斯(Ahlfors,L.V.)

★Brown,Churchill,Complex Variables and Applications Convey, Functions of One Complex Variable Ⅰ&Ⅱ

《简明复分析》龚升, 北大社

Greene,Krantz,Function Theory of One Complex Variable

Marsden,Hoffman,Basic Complex Analysis

Palka,An Introduction to Complex Function Theory

★W. Rudin, Real and Complex Analysis 《实分析与复分析》鲁丁(公认标准教材,最好有测度论基础)

Siegels,Complex Variables

Stein,Shakarchi,Complex Analysis 《复变函数》庄坼泰

●泛函分析(资产组合的价值)

○基础泛函分析(实变函数、算子理论和小波分析)

实变函数与泛函分析基础,程其囊,高教社

★Friedman,Foundations of Modern Analysis

《实变与泛函》胡适耕

《泛函分析引论及其应用》克里兹格 泛函分析习题集(印)克里希南 

Problems and methods in analysis,Krysicki

夏道行,泛函分析第二教程,高教社

★夏道行,实变函数与泛函分析

《数学分析习题集》谢惠民,高教社

泛函分析•第6版(英文版)  K.Yosida

《泛函分析讲义》张恭庆,北大社

○高级泛函分析(算子理论)

J.B.Conway, A Course in Functional Analysis,泛函分析教程(英文版)

★Lax,Functional Analysis

★Rudin,Functional Analysis,泛函分析(英文版)[美]鲁丁 (分布和傅立叶变换经典,要有拓扑基础)

Zimmer,Essential Results of Functional Analysis

○小波分析

Daubeches,Ten Lectures on Wavelets

★Frazier,An Introduction to Wavelets Throughout Linear Algebra Hernandez,

《时间序列的小波方法》Percival

★Pinsky,Introduction to Fourier Analysis and Wavelets

Weiss,A First Course on Wavelets

Wojtaszczyk,An Mathematical Introduction to Wavelets Analysis

●微分方程(期权定价、动态分析)

○常微分方程和偏微分方程(微分方程稳定性,最优消费组合)

V. I. Arnold, Ordinary Differential Equations,常微分方程(英文版)(现代化,较难)

★W. F. Boyce, R. C. Diprima, Elementary Differential Equations and Boundary Value Problems

《数学物理方程》陈恕行,复旦

E. A. Coddington, Theory of ordinary differential equations

A. A. Dezin, Partial differential equations

L. C. Evans, Partial Differential Equations

丁同仁《常微分方程教程》高教

《常微分方程习题集》菲利波夫,上海科技社

★G. B. Folland, Introduction to Partial Differential Equations

Fritz John, Partial Differential Equations

《常微分方程》李勇

☆The Laplace Transform: Theory and Applications,Joel L. Schiff(适合自学)

G. Simmons, Differntial Equations With Applications and Historecal Notes

索托梅约尔《微分方程定义的曲线》

《常微分方程》王高雄,中山大学社

《微分方程与边界值问题》Zill  

○偏微分方程的有限差分方法(期权定价)

福西斯,偏微分方程的有限差分方法

★Kwok,Mathematical Models of Financial Derivatives(有限差分方法美式期权定价)

★Wilmott,Dewynne,Howison,The Mathematics of Financial Derivatives (有限差分方法美式期权定价)

○统计模拟方法、蒙特卡洛方法Monte Carlo method in finance(美式期权定价)

★D. Dacunha-Castelle, M. Duflo, Probabilités et Statistiques II

☆Fisherman,Monte Carlo Glasserman,Monte Carlo Mathods in Financial Engineering(金融蒙特卡洛方法的经典书,汇集了各类金融产品)

☆Peter Jaeckel,Monte Carlo Methods in Finance(金融数学好,没Glasserman的好)

★D. P. Heyman and M. J. Sobel, editors,Stochastic Models, volume 2 of Handbooks in O. R. and M. S., pages 331-434. Elsevier Science Publishers B.V. (North Holland)

Jouini,Option Pricing,Interest Rates and Risk Management

★D. Lamberton, B. Lapeyre, Introduction to Stochastic Calculus Applied to Finance(连续时间)

★N. Newton,Variance reduction methods for diffusion process :

★H. Niederreiter,Random Number Generation and Quasi-Monte Carlo Methods. CBMS-NSF Regional Conference Series in Appl. Math. SIAM

★W.H. Press and al.,Numerical recepies.

★B.D. Ripley. Stochastic Simulation

★L.C.G. Rogers et D. Talay, editors, Numerical Methods in Finance. Publications of the Newton Institute.

★D.V. Stroock, S.R.S. Varadhan, Multidimensional diffusion processes

★D. Talay,Simulation and numerical analysis of stochastic differential systems, a review. In P. Krée and W. Wedig, editors, Probabilistic Methods in Applied Physics, volume 451 of Lecture Notes in Physics, chapter 3, pages 54-96.

★P.Wilmott and al.,Option Pricing (Mathematical models and computation).

Benninga,Czaczkes,Financial Modeling

○数值方法 、数值实现方法

Numerical Linear Algebra and Its Applications,科学社

K. E. Atkinson, An Introduction to Numerical Analysis

R. Burden, J. Faires, Numerical Methods

《逼近论教程》Cheney

P. Ciarlet, Introduction to Numerical Linear Algebra and Optimisation, Cambridge Texts in Applied Mathematics

A. Iserles, A First Course in the Numerical Analysis of Differential Equations, Cambridge Texts in Applied Mathematics

《数值逼近》蒋尔雄

《数值分析》李庆杨,清华

《数值计算方法》林成森

J. Stoer, R. Bulirsch, An Introduction to Numerical Analysis

J. C. Strikwerda, Finite Difference Schemes and Partial Differential Equations

L. Trefethen, D. Bau, Numerical Linear Algebra

《数值线性代数》徐树芳,北大

其他(不必)

《数学建模》Giordano

《离散数学及其应用》Rosen

《组合数学教程》Van Lint

◎几何学和拓扑学 (凸集、凹集)

●拓扑学

○点集拓扑学

★Munkres,Topology:A First Course《拓扑学》James R.Munkres  

Spivak,Calculus on Manifolds      

◎代数学(深于数学系高等代数)(静态均衡分析)

○线性代数、矩阵论(资产组合的价值)

M. Artin,Algebra

Axler, Linear Algebra Done Right

★Curtis,Linear Algeria:An Introductory Approach

W. Fleming, Functions of Several Variables  

Friedberg, Linear Algebra Hoffman & Kunz, Linear Algebra

P.R. Halmos,Finite-Dimensional Vector Spaces(经典教材,数学专业的线性代数,注意它讲抽象代数结构而不是矩阵计算,难读)

J. Hubbard, B. Hubbard, Vector Calculus, Linear Algebra, and Differential Forms: A Unified Approach

N. Jacobson,Basic Algebra Ⅰ&Ⅱ

☆Jain《线性代数》

Lang,Undergraduate Algeria

Peter D. Lax,Linear Algebra and Its Applications(适合数学系)

G. Strang, Linear Algebra and its Applications(适合理工科,线性代数最清晰教材,应用讲得很多,他的网上讲座很重要)

●经济最优化

Dixit,Optimization in Economic Theory

●一般均衡

Debreu,Theory of Value

●分离定理

★Hildenbrand,Kirman,Equilibrium Analysis(均衡问题一般处理)

★Magill,Quinzii,Theory of Incomplete Markets(非完备市场的均衡)

★Mas-Dollel,Whinston,Microeconomic Theory(均衡问题一般处理)

★Stokey,Lucas,Recursive Methods in Economic Dynamics(一般宏观均衡)

◎概率统计

●概率论(金融产品收益估计、不确定条件下的决策、期权定价)

○基础概率理论(数学系概率论水平)

★《概率论》(三册)复旦

Davidson,Stochastic Limit Theory

Durrett,The Essential of Probability,概率论第3版(英文版)

★W. Feller,An Introduction to Probability Theory and its Applications概率论及其应用(第3版)——图灵数学•统计学丛书

《概率论基础》李贤平,高教

G. R. Grimmett, D. R. Stirzaker, Probability and Random Processes

☆Ross,S. A first couse in probability,中国统计影印版;概率论基础教程(第7版)——图灵数学•统计学丛书(例子多)

☆《概率论》汪仁官,北大

王寿仁,概率论基础和随机过程,科学社

☆《概率论》杨振明,南开,科学社

○基于测度论的概率论

测度论与概率论基础,程式宏,北大

★D. L. Cohn, Measure Theory

Dudley,Real Analysis and Probability

★Durrett,Probability:Theory and Examples

Jacod,Protter,Probability Essentials Resnick,A Probability Path

★Shirayev,Probability

严加安,测度论讲义,科学社

★钟开莱,A Course in Probability Theory

○随机过程微积分Introduction of diffusion processes (期权定价)

K. L. Chung, Elementary Probability Theory with Stochastic Processes

Cox,Miller,The Theory of Stochastic

★R. Durrett, Stochastic calculus

★黄志远,随机分析入门

黄志远 《随机分析学基础》科学社

姜礼尚,期权定价的数学模型和方法,高教社  

《随机过程导论》Kao

Karlin,Taylor,A First Course in Stochastic Prosses(适合硕士生)

Karlin,Taylor,A Second Course in Stochastic Prosses(适合硕士生)

随机过程,劳斯,中国统计

☆J. R. Norris,Markov Chains(需要一定基础)

★Bernt Oksendal, Stochastic differential equations(绝佳随机微分方程入门书,专注于布朗运动,比Karatsas和Shreve的书简短好读,最好有概率论基础,看完该书能看懂金融学术文献,金融部分没有Shreve的好)

★Protter,Stochastic Integration and Differential Equations(文笔优美)

★D. Revuz, M. Yor, Continuous martingales and Brownian motion(连续鞅)

Ross,Introduction to probability model(适合入门)

★Steel,Stochastic Calculus and Financial Application(与Oksendal的水平相当,侧重金融,叙述有趣味而削弱了学术性,随机微分、鞅)

☆《随机过程通论》王梓坤,北师大

○概率论、随机微积分应用(连续时间金融)

Arnold,Stochastic Differential Equations

☆《概率论及其在投资、保险、工程中的应用》Bean

Damien Lamberton,Bernard Lapeyre. Introduction to stochastic calculus applied to finance.

David Freedman.Browian motion and diffusion.

Dykin E. B. Markov Processes.

Gihman I.I., Skorohod A. V.The theory of Stochastic processes基赫曼,随机过程论,科学

Lipster R. ,Shiryaev A.N. Statistics of random processes.

★Malliaris,Brock,Stochastic Methods in Economics and Finance

★Merton,Continuous-time Finance

Salih N. Neftci,Introduction to the Mathematics of Financial Derivatives

☆Steven E. Shreve ,Stochastic Calculus for Finance I: The Binomial Asset Pricing Model;II: Continuous-Time Models(最佳的随机微积分金融(定价理论)入门书,易读的金融工程书,没有测度论基础最初几章会难些,离散时间模型,比Naftci的清晰,Shreve的网上教程也很优秀)

Sheryayev A. N. Ottimal stopping rules.

Wilmott p., J.Dewynne,S. Howison. Option Pricing: Mathematical Models and Computations.

Stokey,Lucas,Recursive Methods in Economic Dynamics

Wentzell A. D. A Course in the Theory of Stochastic Processes.

Ziemba,Vickson,Stochastic Optimization Models in Finance

○概率论、随机微积分应用(高级)

Nielsen,Pricing and Hedging of Derivative Securities

Ross,《数理金融初步》An Introduction to Mathematical Finance:Options and other Topics

Shimko,Finance in Continuous Time:A Primer

○概率论、鞅论

★P. Billingsley,Probability and Measure

K. L. Chung & R. J. Williams,Introduction to Stochastic Integration

Doob,Stochastic Processes

严加安,随机分析选讲,科学

○概率论、鞅论Stochastic processes and derivative products(高级)

★J. Cox et M. Rubinstein : Options Market

★Ioannis Karatzas and Steven E. Shreve,Brownian Motion and Stochastic Calculus(难读的重要的高级随机过程教材,若没有相当数学功底,还是先读Oksendal的吧,结合Rogers & Williams的书读会好些,期权定价,鞅)

★M. Musiela – M. Rutkowski : (1998) Martingales Methods in Financial Modelling

★Rogers & Williams,Diffusions, Markov Processes, and Martingales: Volume 1, Foundations;Volume 2, Ito Calculus (深入浅出,要会实复分析、马尔可夫链、拉普拉斯转换,特别要读第1卷)

★David Williams,Probability with Martingales(易读,测度论的鞅论方法入门书,概率论高级教材)

○鞅论、随机过程应用

Duffie,Rahi,Financial Market Innovation and Security Design:An Introduction,Journal of Economic Theory

Kallianpur,Karandikar,Introduction to Option Pricing Theory

★Dothan,Prices in Financial Markets (离散时间模型)

Hunt,Kennedy,Financial Derivatives in Theory and Practice

何声武,汪家冈,严加安,半鞅与随机分析,科学社

★Ingersoll,Theory of Financial Decision Making

★Elliott Kopp,Mathematics of Financial Markets(连续时间)

☆Marek Musiela,Rutkowski,Martingale Methods in Financial Modeling(资产定价的鞅论方法最佳入门书,读完Hull书后的首选,先读Rogers & Williams、Karatzas and Shreve以及Bjork打好基础)

○弱收敛与随机过程收敛

★Billingsley,Convergence of Probability Measure

Davidson,Stochastic Limit Theorem

★Ethier,Kurtz,Markov Process:Characterization and Convergence Hall,Martingale Limit Theorems

★Jocod,Shereve,Limited Theorems for Stochastic Process

Van der Vart,Weller,Weak Convergence and Empirical Process

◎运筹学

●最优化、博弈论、数学规划

○随机控制、最优控制(资产组合构建)

Borkar,Optimal control of diffusion processes

Bensoussan,Lions,Controle Impulsionnel et Inequations Variationnelles  

Chiang,Elements of Dynamic Optimization

Dixit,Pindyck,Investment under Uncertainty

Fleming,Rishel,Deterministic and Stochastic Optimal Control

Harrison,Brownian Motion and Stochastic Flow Systems

Kamien,Schwartz,Dynamic Optimization

Krylov,Controlled diffusion processes

○控制论(最优化问题)

●数理统计(资产组合决策、风险管理)

○基础数理统计(非基于测度论)

★R. L. Berger, Cassell, Statistical Inference

Bickel,Dokosum,Mathematical Stasistics:Basic Ideas and Selected Topics

★Birrens,Introdution to the Mathematical and Statistical Foundation of Econometrics

数理统计学讲义,陈家鼎,高教

★Gallant,An Introduction to Econometric Theory

R. Larsen, M. Mars, An Introduction to Mathematical Statistics

☆《概率论及数理统计》李贤平,复旦社

☆Papoulis,Probability,random vaiables,and stochastic process

☆Stone,《概率统计》

★《概率论及数理统计》中山大学统计系,高教社

○基于测度论的数理统计(计量理论研究)

Berger,Statistical Decision Theory and Bayesian Analysis

陈希儒,高等数理统计

★Shao Jun,Mathematical Statistics

★Lehmann,Casella,Theory of Piont Estimation

★Lehmann,Romano,Testing Statistical Hypotheses

《数理统计与数据分析》Rice

○渐近统计

★Van der Vart,Asymptotic Statistics

○现代统计理论、参数估计方法、非参数统计方法

参数计量经济学、半参数计量经济学、自助法计量经济学、经验似然

统计学基础部分

1、《统计学》《探索性数据分析》 David Freedman等,中国统计 (统计思想讲得好)

2、Mind on statistics 机械工业 (只需高中数学水平)

3、Mathematical Statistics and Data Analysis 机械工业 (这本书理念很好,讲了很多新东西)

4、Business Statistics a decision making approach 中国统计 (实用)

5、Understanding Statistics in the behavioral science 中国统计

回归部分

1、《应用线性回归》 中国统计 (蓝皮书系列,有一定的深度,非常精彩)

2、Regression Analysis by example,(吸引人,推导少)

3、《Logistics回归模型——方法与应用》 王济川 郭志刚 高教 (不多的国内经典统计教材)

多元

1、《应用多元分析》 王学民 上海财大(国内很好的多元统计教材)

2、Analyzing Multivariate Data,Lattin等 机械工业(直观,对数学要求不高)

3、Applied Multivariate Statistical Analysis,Johnson & Wichem,中国统计(评价很高)

《应用回归分析和其他多元方法》Kleinbaum

《多元数据分析》Lattin  

时间序列

1、《商务和经济预测中的时间序列模型》 弗朗西斯著(侧重应用,经典)

2、Forecasting and Time Series an applied approach,Bowerman & Connell(主讲Box-Jenkins(ARIMA)方法,附上了SAS和Minitab程序)

3、《时间序列分析:预测与控制》 Box,Jenkins 中国统计

《预测与时间序列》Bowerman

抽样

1、《抽样技术》 科克伦著(该领域权威,经典的书。不好懂——就算看得懂每个公式,未必能懂它的意思)

2、Sampling: Design and Analysis,Lohr,中国统计(讲了很多很新的方法,不好懂)

软件及其他

1、《SAS软件与应用统计分析》 王吉利 张尧庭 主编 (好书)

2、《SAS V8基础教程》 汪嘉冈编 中国统计(主要讲编程,没怎么讲统计)

3、《SPSS11统计分析教程(基础篇)(高级篇)》 张文彤 北京希望出版社

4、《金融市场的统计分析》 张尧庭著 广西师大(言简意赅)

◎经济和金融数学

◎计量经济学,时间序列分析(回归分析(用于套期保值分析),多元分析(主成份分析和因子分析(用于风险管理)))  

John Y. Campbell, Andrew W. Lo, A. Craig MacKinlay, and Andrew Y. Lo ,The Econometrics of Financial Markets(金融经济学简明教材,不涉及宏观金融(宏观和货币经济学),不好读,需要一定经济学和金融学基础,水平没有Duffie和Cochrane的高)

★John H. Cochrane,Asset Pricing(易读,写法现代,需要必要金融经济学基础,读后可以看懂该领域论文,想学金融数学还是读Duffie的吧)

☆Russell Davidson,Econometric Theory and Methods (讲得最清晰的中级书,比格林的好读得多,虽然没林文夫的经典)

★Darrell Duffie,Dynamic Asset Pricing Theory(连续时间动态规划,虽然易读还是最好有泛函分析、测度论、随机微积分和向量空间优化知识基础,没有Hull的好读)

★Golderberg,A Course in Econometrics

☆William H. Greene ,Econometric Analysis(中级,应用计量经济学经典,难读,重点不突出,适合做参考书)

☆Gujarati,计量经济学(初级经典,易读但有点老旧)

☆林文夫Fumio Hayashi,Econometrics(中级,理论计量经济学经典,头两章重要,要一定数学基础和良师导读,比格林书易读)

Helmut Lütkepohl,Markus Krātzig,Applied Time Series Econometrics,《应用时间序列计量经济学》

Ian Jacques,Mathematics for Economics and Business,《商务与经济数学》

B. Jerkins,Time Series Analysis:Forecasting & Control

☆Peter Kennedy, A Guide to Econometrics(绝佳初级教材,通俗易懂,不次于伍德里奇的《现代方法》) 皮特,《计量经济学指南》

☆平狄克《计量经济模型与经济预测》Econometric Models and Economic Forecasts  

平狄克《不确定性下的投资》

Roger Myerson, Curt Hinrichs, Probability Models for Economic Decision,《经济决策的概率模型》

★J. H. Stock, M. W. Watson, Introduction to Econometrics

A. H. Studenmund,Introductory Econometrics with Applications,《应用计量经济学》(基础性)

T. J. Watsham, K. Parramore《金融数量方法》  

★Jeffrey Wooldridge,Introductory Econometrics: A Modern Approach (初级,不侧重数学推理,可自学,适合经济类专业,不适合统计专业,Kennedy的书不次于它,古扎拉底的书比它深一些)

☆Wooldridge 伍德里奇,Econometric Analysis of Cross Section and Panel Data 《横截面与面板数据的计量经济学分析》(微观计量理论的经典,Green和Hayashi两本书的补充,需要初级或中级基础,易读)

邵宇《微观金融学及其数学基础》清华社

○时间序列建模、时间序列分析及其算法研究

McKenzie,Research Design Issues in Time-Series Modeling of Financial Market Volatility

Watsham,Parramore,Quantitative Methods in Finance

○数理金融学Econometrics of Finance

Abramowitz,Stegun,Handbook of Mathematical Functions

Briys,Options,Futures and Exotic Derivatives

★Brockwell, P. and Davis, Time series : theory and methods

☆《金融计量经济学导论》克里斯•布鲁克斯(Chris Brooks)

★Campbell, J.Y., A.W. Lo and A.C. MacKinlay, The econometrics of financial markets(消费的资本资产定价模型)

Cox,Huang,Option Pricing and Application,Frontiers of Financial Theory

Dempster,Pliska,Mathematics of Derivative Securities

☆Walter Enders, Applied Econometric Time Series(时间序列分析绝佳入门书,比汉密尔顿的经典易读得多)

★Gourieroux, G., ARCH models and financial applications

★James Douglas Hamilton, Time series analysis《时间序列分析》汉密尔顿(时间序列经典,侧重理论技术,不适合初学,需要一定基础,统计和经济都可用)

★Hamilton, J. and B. Raj, (Eds), Advances in markov switching models

Karatzas,Lectures on the Mathematics of Finance

★Lardic S., V. Mignon, Econométrie des séries temporelles macroéconomiques et financières. Economica.

★《连续时间金融》罗伯特•莫顿(Robert Merton)Continuous time finance

★Mills, T.C., The econometric modelling of financial time series

★Muselia,Rutkowski,Martingale Models in Financial Modeling(连续时间、期权定价)

★Pliska,Introduction to Mathematical Finance:Discrete Time Models(离散时间模型高级教材) 数理金融学引论——离散时间模型

★Reinsel, G., Elements of multivariate time series analysis

《金融数学》Stampfli

☆Ross,An Introduction to Mathematical Finance:Options and other Topics, Ross S. M., 《数理金融初步》罗斯(Sheldon M.Ross)(投资组合)

Schachermayer,Introduction to the Mathematics of Financial Markets

★Tsay, R.S., Analysis of financial time series《金融时间序列分析》蔡瑞胸(Ruey S.Tsay)(美)

软件:

1、EViews

2、SAS

◎微观经济学

★马斯•科莱尔《微观经济学》Andreu Mas-Colell Green, Microeconomic Theory (高级顶尖,微观的百科全书。一般均衡讲得好,适合学完微分方程、实分析和线性代数的经济系学生,商科学生能大部分领会就很可以啦。博弈论部分要结合Kreps书和Tirole《产业组织理论》来看)

☆《高级微观经济理论》Advanced Microeconomic Theory杰里/瑞尼 Geoffrey A. Jehle / Philip J. Reny (高级入门,前半部分写得好,仅次于范里安,博弈论一般但简洁。没有马斯科莱尔的全面和艰深,简洁准确易懂,两书相得益彰。比范里安和尼科尔森的分析深入,不想复杂地学高微就用它吧)

☆A Course in Microeconomic,David M. Kreps(高级,侧重博弈论方法,其他一般,写法轻松而严谨欠缺,马斯科莱尔的补充)

★曼昆《经济学原理》(初级)

☆Walter Nicholson etl,Microeconomic Theory: Basic Principles and Extensions(让你很容易地掌握和爱上微观,中级平狄克向高级马斯科莱尔的过渡,博弈论薄弱些)

★平狄克Robert Pindyck《微观经济学》Microeconomics(中级,通俗简单,涉及了微观的各个方面,如博弈论和定价策略。适合初学,侧重应用,数学与理论分析偏少,让人知其然但不知其所以然。作为中级薄弱一些,适合商科中级)

★萨缪尔森《经济学》(初级,但数学推理多)

★斯蒂格利茨《经济学》(初级)

★范里安《微观经济学:现代观点》Intermediate Microeconomics: A Modern Approach(中级,数学太少)

★范里安《微观经济学高级教程》(高级基础,太短,用语言而不是数学来解释概念,前半部分好,适合自学,单看意义不大,要先范里安再Kreps再科莱尔)Hal R. Varian,Microeconomic Analysis

☆张五常:《卖桔者言》(入门)

◎宏观经济学

奥伯斯法尔德、若戈夫:《高级国际金融学教程》Foundations of International Macroeconomics by Maurice Obstfeld and Kenneth S. Rogoff(写法还可提高,高级,作者知名,应用和练习很多,比克鲁格曼的难)

★Robert J. Barro, Economic Growth

★Olivier Blanchard布兰查德《宏观经济学》Macroeconomics(适合金融或经济学专业,数学比曼昆的难,有中级代数、三角学及非微积分统计,习题没答案,其他专业还是看曼昆吧。作为中级好像难度大点(当然高级的数学更难),体系清楚)

布兰查德Olivier Jean Blanchard《宏观经济学讲义》Lectures on Macroeconomics(高级)(宏观和货币经济学,作为高级太简单)

Dennis R. Appleyard,Alfred J. Field,《国际经济学》

★多恩布什《宏观经济学》(中级)

☆克鲁格曼《国际经济学》(中级)

☆《经济动态的递归方法》卢卡斯 (高宏最顶尖教材) recursive method in economics dynamics by Robert E. Lucas

★曼昆N. Gregory Mankiw《宏观经济学》Macroeconomics(中级,清晰简明,像他的《原理》尽量简单化,但是没有付出怎会获得?还是布兰查德和多恩布什的专业些,再深的就是罗默了。)

★《高级宏观经济学》戴维.罗默 (高级入门) Advanced Macroeconomics by David Romer(覆盖面广,宏观模型多,分析质量高,数学多解释少,数学可以再简明些,易引起混乱,开放的宏观经济学这本不够,不适合作核心中级课本)  

★萨尔瓦多《国际经济学》

☆萨金特《动态宏观经济理论》(高宏基础教材) Recursive Macroeconomic Theory by Lars Ljungqvist Thomas I. Sargent

萨克斯《全球视角的宏观经济学》

《金融经济学》

◎经济史/经济思想史

《西欧金融史》

《美国经济史》剑桥

《经济分析史》

埃克伦德、赫伯特:《经济理论和方法史》

Roger E. Backhouse,The History of Economic

Stanley L. Brue,The Evolution of Economic Thought,《经济思想史》

斯皮格尔:《经济思想的成长》

《经济学中的分析方法》Akira Takayama

Michael Todaro,Stephen Smith,Economic Development,《发展经济学》

◎金融学

Allen,Santomero,The Theory of Financial Intermediation,Journal of Banking and Finance

★《金融学》 滋维•博迪(Zvi bodie),罗伯特•莫顿(Robert Merton)

★《投资学》滋维•博迪(Zvi bodie),亚历克斯•凯恩(Alex Kane),艾伦•马库斯(Alan Marcus)Investments(资本市场投资、利率及贴现)  

Bodie,Essentials of Investments

Dubofsky,Options and Financial Futures:Valuation and Uses

Dunbar,Invent Money:The Story of Long-Term Capital Management and the Legend behind it

★Erichberger,Harper,Financial Economics

Fabozzi,Foundations of Financial Markets and Institutions

James,Webber,Interest Rate Modiling

★Jarrow,Finance Theory

★LeRoy,Werner,Principals of Financial Economics(均值方差方法)

★马杜拉《金融市场和结构》

Malkiel,A Random Walk Down Wall Street

Mayer,Money,Banking and the Economy 梅耶《货币、银行与经济》

McMillan,McMillan on Options

Mel’nikov,Financial Market-Stochastic Analysis and the Pricing of Derivative Securities

米什金《货币银行学》

Naftci,Investment Banking,and Securities Trading

Nassim,Taleb,Dynamic Hedging

Pelsser,Efficient Methods for Valuing Internet Rate Derivatives

Ritchken,Theory,Strategy and Applications

Santomero,Financial Markets,Instruments and Institutions

Saunders,Financial Institutions Management:A Modern Perspective

★《投资学》威廉•F•夏普(William F.Sharpe),戈登•J•亚历山大(Gordon J.Alexander),杰弗里•V•贝利(Jeffery V.Bailey)Investments(资本市场投资、利率及贴现)

Shefrin,Behavioral Finance

《货币理论与政策》Carl E. Walsh

Willmott,Dewynne,Howison,The Mathematics of Financial Deribatives

Zhang,Exotic Options

公司金融

Bernstein,Capital Idea:The Improbable Origins of Modern Wall Street

Scott Besley, Eugene F. Brigham, Essentials of Managerial Finance《财务管理精要》

Richard A. Brealey, Stewart C. Myers, Principles of Corporate Finance《公司财务原理》

Brennan,The Theory of Corperate Finance

Burroughs,Helyar,Barbarians in the Gate:The Fall of RJR Nabisco

Copeland,Financial Theory and Corporate Policy

Damodaran,Applied Corporate Finance:A User’s Manual

Damodaran,Corporate Finance:Theory and Practice

Emery,Finnerty,Corporate Financial Management

☆《公司理财》斯蒂芬•A.罗斯(Stephen A.Ross),罗德尔福W.威斯特菲尔德(Radolph W.Wdsterfield),杰弗利F.杰富(Jeffrey F.Jaffe)

☆《公司金融理论》让•梯若尔(Jean Tirole)

Valuation:Measuring and Managing the Value of Companies

1.理论金融

资产定价:

★Duffie,Futures Markets(远期合约和期货合约)

Duffie: security market

★《金融经济学基础》黄奇辅(Chi-fu Huang),罗伯特•鲍勃•李兹森伯格(Robert H. Litzenberger)Foundation for financial economics

★Ingersoll: Theorey of financial decision making

Ross: Neoclassical Finance

证券承销:

公司并购:

  2.入门和综合类

Amman: Credit risk valuation

★Baxter M., Rennie A., Financial Calculus : An Introduction to Derivative Pricing(金融工程必读书,循序渐进地介绍随机微积分,金融偏微分方程还是看Willmott吧,侧重理论,仅需基本的微积分和概率论基础)《金融数学衍生产品定价导论》

Bielecki, Rutkowski: Credit Risk : Modeling , Valuation and Hedging

★Tomas Bjork: Arbitrage theory in continuous time(Hull的后续中级书,连续时间、期权定价)

Cvitanic, Zapatero: Introduction to the economics and mathematics of financial markets

★Dana,Jeanblanc,Financial Markets in Continuous Time(连续时间)

Duffie Singleton: Credit Risk

★Elliott, Kopp: Mathematics of Financial markets

★Fouque,Papanicolau,Derivatives in Financial Markets with Stochastic Volatility(随机波动率)

★Gourieroux,ARCH Models and Financial Applications(ARCH模型和GARCH模型)

★Harris:Trading and Exchanges: Market Microstructure for Practitioners(详述不同类型证券交易)

★Options, Futures, and Other Derivatives《期权、期货和其他衍生品》约翰•赫尔(John C.Hull) (衍生品和数理金融初级经典教材,期货和期权市场组织、远期合约和期货合约、期权定价、期权交易)

Hull,J. C.,Risk Management and Financial Insititutions《风险管理与金融机构》

★Karatzas Shreve: Methods of mathematical finance(美式期权、随机微分、连续时间动态规划、鞅、连续时间模型高级教材)

☆Lawrence G. McMillan,Options as a Strategic Investment

Rrederic S. Mishkin, Financial Markets and Institutions《金融市场与金融机构》

★米什金《货币银行和金融市场经济学》  

★Nelken,Pricing,Hedging,and Trading Exotic Options(奇异期权)

☆Sheldon Natenberg,Option Volatility & Pricing: Advanced Trading Strategies and Techniques  

Edgar A. Norton,Introduction to Finance:Markets,Investments and Financial Management《金融学导论:市场、投资与财务管理》

★Lewis,Option Valuation under Stochastic Volatility:with Mathemetical Code(随机波动率)

☆《金融工程原理》 萨利赫.内福斯(Salih N.Neftci)

Peter Rose, Sylvia C. Hudgins, Commercial Bank Management《商业银行管理》

Peter S. Rose, Money and Capital Markets《金融市场学》

Shreve:Stochastic Calculus Models for Finance vol 1 & 2

Taleb:Dynamic Hedging

Lloyd B. Thomas, Money, Banking, and Financial Markets《货币,银行业与金融市场》

☆《金融经济学》 王江

Robert E. Whaley, Derivatives: Markets, Baluation, and Risk Management《衍生工具》

Paul Wilmott, Paul Wilmott introduces quantitative finance《金融计量经济学》

Wilmott P.: quantitative finance(利率模型)

★Wilmott P.,Derivatives:The Theory and Practice of Financial Engineering(期权定价,偏微分方程方法用得好)

  3. 固定收益

★Bielecki,Rutkowski,Credit Risk:Modeling,Valuation and Hedging(违约风险高级教材)

★Brigo,Mercurio,Interest Rate Models:Theory and Practice(固定收益证券和利率衍生产品)  

Cherubini,Copula Methods in Finance

Haung,zhang,Option Pricing Formulas

Hayre: Salomon Smith Barney Guide to Mortgage-Backed and Asset-Backed Securities Lando,Credit Risk

Lewis,Option Valuation in Stochastic vol

Lipton,Mathematical Methods for Foreign Exchange

★Martellini,Priaulet,Fixed-Income Securities:Dynamic Methods for Interest Rate Risk Pricing and Hedging(固定收益债券、利率衍生产品)

★Martellini,Priaulet Fixed-Income Securities:Valuation,Risk Management and Portfolio Strategies(固定收益债券、利率衍生产品)

Mecurio,Fabio,Interest Rate Models and Practice

★Pelsser,Efficient Methods for Valuing Interest Rate Derivatives(固定收益证券和利率衍生产品) Schonbucher,Credit Derivatives Pricing Models

★Sundaresan,Fixed Income Markets and Their Derivaties(固定收益债券、利率衍生产品)森达里桑《固定收入证券市场及其衍生产品》  

Tavakoli: Collateralized Debt Obligations and Structured Finance

Tavakoli: Credit Derivatives & Synthetic Structures: A Guide to Instruments and Applications

Tuckman: Fixed Income Securities: Tools for Today’s Markets

法博齐Fabozzi的书:

★Bond Markets : Analysis and Strategies(固定收益债券、利率衍生产品)

★Capital Markets,Institutions and Instruments(市场组织)

Collateralized Debt Obligations: Structures and Analysis

Fixed Income Mathematics

Fixed Income Securities

Handbook of Mortgage Backed Securities

Interest Rate, Term Structure, and Valuation Modeling

The Handbook of Fixed Income Securities,

投资管理学

  4:其他类 Rebonato的书:

  Volatility and Correlation : The Perfect Hedger and the Fox

  Modern Pricing of Interest-Rate Derivatives : The LIBOR Market Model and

Beyond

  Interest-Rate Option Models : Understanding, Analysing and Using Models

for Exotic Interest-Rate Options

  GENCAY: An Introduction to High-Frequency Finance

  O’Hara:Market Microstructure Theory

重要著作(不必须。现在已经很少有人会去通篇研读18、19世纪的那些宏伟著作了。):

☆《经济表》弗朗斯瓦•魁奈

《英国得自对外贸易的财富》托马斯•孟

《休谟经济论文选》大卫•休谟

☆《国富论》《道德情操论》亚当•斯密

《人口原理》 托马斯•罗伯特•马尔萨斯

《政治经济学概论》 让•巴蒂斯特•萨伊

《政治经济学原理》麦克库洛赫

☆《赋税论》《政治算术》《货币略论》威廉•配第

☆《管子》

☆《政治经济学及赋税原理》 大卫•李嘉图

☆《政治经济学新原理》 西蒙•德•西斯蒙第

《政治经济学的国民体系》 弗里德里希•李斯特

《政治经济学原理》 约翰•斯图亚特•穆勒

☆《资本论》 卡尔•马克思

☆《反杜林论》恩格斯

☆《马克思、恩格斯全集》

《政治经济学理论》 威廉•斯坦利•杰文斯

《国民经济学原理》卡尔•门格尔

《纯粹经济学要义》 里昂•瓦尔拉斯

《资本与利息》《资本实证论》 欧根•冯•庞巴维克

《动态经济学》罗伊•福布斯•哈罗德

☆《经济学原理》阿弗里德•马歇尔

☆《联邦通讯委员会》《社会成本问题》《企业、市场和法律》《公司的本质》《财产权利与制度变迁》R•科斯

《资本主义经济制度》奥利弗•威廉姆森

《社会选择与个人价值》阿罗

☆《经济解释》《佃农理论》张五常

《比较制度分析》青木昌彦

☆The Ricardian Theory of Production and Distribution, 《风险、不确定性和利润》弗兰克•奈特  

☆《垄断竞争理论》张伯伦

☆《利率理论》费雪

☆《价格理论》《消费函数理论》《货币数量论另说》《马歇尔需求曲线》《资本主义与自由》 米尔顿•弗里德曼

☆《美国货币史》弗里德曼,施瓦茨

☆《不确定性、进化和经济理论》Some Economics of Property Rights, A•阿尔钦

☆《大学经济学》A•阿尔钦,艾伦

《财产权利与制度变迁——产权学派与新制度学派译文集》R•科斯,A•阿尔钦,道格拉斯•诺斯等

《契约经济学》科斯、哈特、斯蒂格利茨等

☆《经济史中的结构和变迁》《西方世界的兴起》道格拉斯•诺斯

☆《效用理论之发展》《产业组织》乔治•斯蒂格勒

《利息与价格》克努特•维克塞尔

《财富的分配》《经济进步的条件》约翰•贝茨•克拉克

《论财富的分配》乔治•拉姆赛

《有闲阶级论》 托尔斯坦•本德•凡勃伦

《来自竞争的繁荣》路德维希•艾哈德

《经济发展理论》《经济分析史》《资本主义、社会主义和民主主义》约瑟夫•阿罗斯•熊彼特

《短缺经济学》亚诺什•科内尔

☆《福利经济学》阿瑟•赛西尔•庇古

☆《不完全竞争经济学》《现代经济学导论》 琼•罗宾逊

《人类行为的经济分析》《家庭论》加里•S•贝克尔

《经济增长理论》刘易斯

《民主财政论》布坎南

《冲突战略》谢林

《经济发展战略》艾伯特•赫希曼

《比较财政分析》理查德•A•马斯格雷夫

☆《就业、利息和货币通论》《货币论》约翰•梅纳德•凯恩斯

《价值与资本》《经济史理论》 约翰•理查德•希克斯

《通往奴役之路》 哈耶克

《社会主义经济增长理论导论》米哈尔•卡莱斯基

《经济周期理论》卢卡斯

《各国的经济增长》《现代经济增长》库兹涅茨

《经济增长的阶段》罗斯托

《货币均衡论》缪尔达尔

《制度经济学》康芒斯

《经济发展中的货币和资本》罗纳德•I•麦金农

《丰裕社会》《经济学和公共目标》 约翰•肯尼斯•加尔布雷斯

《改造传统农业》《人力资本投资》西奥多•W•舒尔茨

《发展极概念在经济活动一般理论中的新地位》F•佩鲁

《不发达国家的资本形成》R•纳克斯

《经济增长理论》索洛

《经济成长的阶段》 沃尔特•罗斯托

《国家竞争优势》迈克尔•波特

《小的是美好的》舒马赫

《贫困与饥荒》《集体选择与社会福利》《重读亚当•斯密》阿玛蒂亚•森

《经济科学的性质和意义》

《经济学原理》杨小凯

《人力资本投资》 西奥多•威廉•舒尔茨

马克布劳格《经济学方法论》

其他参考书:

Andeson O. D. Editor, Time Series Analysis: Theory and Practice

Bingham N. H., Kiesel R., Risk-Nertral Valuation Pricing and Hedging of Financial Derivatives

Buchan M. J., Convertible Bond Pricing: Theory and Evidence

John Y. Campell,Andrew W. Lo, The Econometrics of Financial Markets

Chen J., Gupta A. K., Parametric Statistical Change Point Analysis

Chow Y. S., Teicher H., Probability Theory: Independence, Interchangeability, Martingales

Christian P. R., George C., Monte Carlo Statistical Methods

Thomas E. Copeland, Finance Theory and Corporate Policy

Csòrgǒ M., Horváth L., Limit Theorems in Change-Point Analysis

Alison Etheridg,金融数学教程(期权定价,鞅)

R. V. 豪格,A. T. 克莱格,数理统计导论

Harrison J. M., Brownian Motion and Stochastic Flow System

Hsiao C., Analysis of Panel Data

Jorion P., Value at Risk: the New Benchmark for Managing Financial Risk

Edward P. C. Kao, An Introduction to Stochastic Processes

Takeaki Kariya, Quantitunive Methods for Portfolio Analysis(证券组合)

Korn R., Optimal Portfolio

Kwok Y. K., Mathematical Models of Financial Derivatives

Levy H., Stochastic Dominance: Investment Decision Making under Uncertainly(投资组合)

Lin X. S., Introductory Stochastic Analysis for Finance

Markowitz H.,Mean-Variance Analysis in Portfolio Choice and Capital Markets(交易成本,投资组合)

Markowitz H.,Portfolio Selection: Efficient Diversification of Investment

Percival D. B., Walden A. T., Wavelet Methods for Time Analysis(小波分析)

Peters E. E., Fractal Market Analysis: Applying Chaos Theory to Investment and Economics

Rosen L. R., The McGraw-Hill Handbook of Interest Yield and Returns

Willmott P., Dewynne J., Option Pricing: Nathematical Model and Computation

◎博弈论

☆《博弈论》 朱•弗登博格 让•梯若尔 (博弈论最顶尖教材) Game Theory by Drew Fudenberg Jean Tirole

☆《博弈论基础》吉本斯 (博弈论基础) A Primer in Game Theory by Roerbt Gibbons 

Jack Hirshleifer, John G. Riley, The Analysis of Uncertainly and Information

Inez Macho-stadler,David Perez-Castrillo J., An Introduction to the Economics of Information: Incentives and Contracts

Laffort Jean-Jacques, The Economics of Uncertainly and Information

迈尔森:《博弈论:矛盾冲突分析》(高级) 

☆《博弈论教程》马丁.J.奥斯本 阿里尔•鲁宾斯坦 (博弈论入门) An Introduction to Game Theory by Martin J.Osborne Ariel Rubinstein 

Richard Watt, An Introduction to the Economics of Information

张维迎,博弈论与信息经济学 (中级)

◎产业组织理论/产业经济学

海、莫瑞斯:《产业经济学与组织》

克拉克森、米勒:《产业组织:理论、证据和公共政策》

☆梯若尔:《产业组织理论》The Theory of Industrial Organization,Jean Tirole(产业组织理论的经典,适合经济系学生,不适合商学院,需要一定代数和博弈论基础,可先读Martin的Advanced Industrial Organisation作为过渡)

◎激励理论/信息经济学

拉丰、马赫蒂摩:《激励理论(第一卷):委托代理模型》

拉丰、梯若尔:《政府采购与规制中的激励理论》

马可-斯达德勒等:《信息经济学引论:激励和合约》

★Joshi,The Concepts and Practice of Mathematical Finance

★Joshi,C++ Design Patterns and Derivatives Pricing

London,Modeling Derivatives in C++

Meyer的书:

Effective C++

More Effective C++

Effective STL

Saul,Numerical Recipes in C++

◎会计学

基础会计、财务会计、成本会计、财务管理、管理会计、审计、高级会计、经济法与税法

安东尼,《会计学:教程与案例》

海斯,《审计学:基于国际审计准则的视角》

惠廷顿,《审计与其他保证服务》

加里森,《管理会计》

韦安特,《财务会计》

威廉姆斯,《会计学:企业决策的基础》

沃伦,《会计学》

◎制度经济学

《经济学中的制度》

埃格特森:《经济行为与制度》

费吕博腾等:《新制度经济学》

★Jean Tirole《产业组织理论》

《现代制度经济学》,盛洪主编

◎发展经济学

吉利斯、罗默:《发展经济学》

◎公共经济学/财政学

布郎、杰克逊:《公共部门经济学》

☆哈维•罗森:《财政学》

斯蒂格利茨:《公共部门经济学》

◎其他(语言、计算机、文学)

★道格拉斯.R.爱默瑞《公司财务管理》

S. Charles Maurice,Christopher R. Thomas,Managerial Economics,《管理经济学》

Michael R. Czinkota,Illkka A. Ronkainen,《国际商务》

Patrick A Garghan,《兼并、收购与公司重组》Mergers,Acquisitions,and Corporate Restructurings

★菲利普•科特勒《营销管理》

股市趋势技术分析(美)迈吉,(美)巴塞蒂

期货市场技术分析 (美)墨菲

★罗宾斯《管理学》

期货交易技术分析(美)施威格(Schwager,J.D.)

(不必须)

江恩华尔街45年(美)江恩

如何从商品期货交易中获利(美)江恩

克罗谈投资策略——神奇的墨菲法则(美)克罗(Krol,S.)

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Paul Wilmott Introduces Quantitative Finance, Paul Wilmott, Wiley, 2007

Paul Wilmott on Quantitative Finance, Paul Wilmott, Wiley, 2006

Frequently Asked Questions in Quantitative Finance, Paul Wilmott, Wiley, 2007

The Complete Guide to Option Pricing Formulas, Espen Gaardner Haug, McGraw-Hill, 1997

Derivatives: Models on Models, Espen Gaardner Haug, Wiley, 2007

Monte Carlo Methods in Finance, Peter Jackel, Wiley, 2002

Structured Credit Products: Credit Derivatives and Synthetic Securitisation, Moorad Choudhry, Wiley, 2004

Asset Price Dynamics, Volatility and Prediction, Stephen J. Taylor, Princeton University Press, 2007

A Practical Guide To Quantitative Finance Interviews Xinfeng Zhou.pdf

a primer for mathematics of financial engineering DAN STEFANICA.pdf

Active Portfolio Management-A Quantitative Approach for Providing Superior Returns and Controlling Risk Richard C. Grinold.pdf

Advanced modelling in finance using Excel and VBA mary jackson.pdf

Algorithms for Interviews Amit Prakash.pdf

An introduction to credit risk modeling christian bluhm.pdf

an introduction to econophysics:correlations and complexity in finance ROSARIO N. MANTEGNA.pdf

Backward Stochastic Differential Equations Nonlinear Expectations, Nonlinear Evaluations and Risk Measures 彭实戈.pdf

Bayesian Statistics and Marketing-outline Allenby, McCulloch and Rossi.pdf

black-scholes and beyond Chriss Neil.chm

building financial model JOHN S. TJIA.pdf

Collateralized Debt Obligations-structures and analysis LAURIE S. GOODMAN.pdf

Commodities and Commodity Derivatives-Modeling and Pricing for Agriculturals,Metals and Energy He′ lyette Geman.pdf

Credit Portfolio Management charles smithson.pdf

Derivatives and Internal Models H-P Deutsch.pdf

Dynamics Of Markets-Econophysics And Finance JOSEPH L. McCAULEY.pdf

Economic and Financial Decisions under Risk Louis Eeckhoudt.pdf

Efficient procedures for  valuing European and American Path-dependent Options John Hull and Nan White.pdf

Energy and power risk management A Eydeland & K Wolyniec.pdf

energy derivatives.pdf

Financial Applications Using Excel Add-in Development in CC++ steve dalton.pdf

FINANCIAL DERIVATIVES PRICING, APPLICATIONS, AND MATHEMATICS J Baz & G Chacko.pdf

Financial Engineering with Finite Elements Jurgen Topper.pdf

Financial Engineering With Mathematica Zvi Wiener.pdf

financial engineering with stochastic calculus Jeremy Staum康奈尔大学.pdf

financial mathematics II min dai(新加坡).pdf

Financial Modeling 3ed simon benninga.pdf

Financial Modeling Under Non-Gaussian Distributions Eric Jondeau, Ser-Huang Poon and Michael Rockinger.pdf

Financial Modelling wit Jump processes R Cont & P Tankov.pdf

Financial Numerical Recipes in C++ Bernt Arne Odegaard.pdf

Finite Difference Methods in Financial Engineering A Partial Differential Equation Approach Daniel J. Duffy.pdf

Forecasting Volatility in Financial Market J Knight & Satchell.pdf

Forward-Backward stochastic differential equations and their applocations 雍炯明.pdf

Frequently Asked Questions in Quantitative Finance solutions paul wilmott.pdf

Guide to Quant Careers2.0 Paul & Dominic.pdf

heard on the street quantitative questions from wall street job interviews timothy falcon crack.pdf

How I Became a quant-Insights From 25 ofWall Street’s Elite Richard R. Lindsey.pdf

How to Detect an Asset Bubble Robert A. Jarrow.pdf

how to lie with statistics中文DARRELL HUFF.pdf

Implementing Derivatives Models Errata les clewlow.pdf

Implementing Derivatives Models I ppt Andreas H. Burgmann.pdf

Implementing Derivatives Models II ppt Andreas H. Burgmann.pdf

Implementing Derivatives Models III ppt Andreas H. Burgmann.pdf

Implementing Derivatives Models les clewlow.pdf

Interest Rate Modeling. Volume 1 Foundations and Vanilla Models Nick Webber, Jessica James.djvu

Interest Rate Modeling. Volume 2 Term Structure Models Nick Webber, Jessica James.djvu

Interest Rate Modeling. Volume 3  Products and Risk Management Nick Webber, Jessica James.djvu

Interest Rate Modelling Simona Svoboda.chm

Interest Rate Models-Theory and Practice-With Smile, Inflation and Credit Damiano Brigo · Fabio Mercurio.pdf

interest-rate option models rebonato.djvu

Introduces Quantitative Finance Paul Wilmott.pdf

Introduction To Mathematical Finance-Discrete Time Models Stanley R. Pliska.pdf

Introduction to Stochastic Calculus for Finance-A New Didactic Approach Dieter Sondermann.pdf

Introduction to the Economics and Mathematics of Financial Markets Jakˇsa Cvitani′,Fernando Zapatero.pdf

Introduction to the Mathematical and Statistical Foundations of Econometrics HERMAN J. BIERENS.pdf

Lecture Note-Stochastic Processes in fnance金融中的随机过程讲义(北大)Liu Jingjun.pdf

Levy Option Pricing Models Theory And Application Kazuhisa Matsuda.pdf

Levy Processes In Finance-Pricing Financial Derivatives Wim Schoutens.pdf

Market Models Carol Alexander.djvu

Market Risk Analysis vol1 Quantitative Methods in Finance Carol Alexander.pdf

Market Risk Analysis vol2 Practical Financial Econometrics Carol Alexander.pdf

Market Risk Analysis vol3 pricing, hedging and trading financial instruments carol alexander.pdf

Market Risk Analysis vol4 value-at-risk models Carol Alexander.pdf

Mathematical techniques in finance-tools in incomplete market Ales Cerny.pdf

modelling financial derivatives with mathematica william t shaw.pdf

Modern Portfolio Theory and Investment Analysis 6th E J Elton.pdf

Modern Portfolio Theory and Investment Analysis 6th Solutions E J Elton.pdf

monetary theory and the trade cycle friedrich a hayek.pdf

More Mathematical Finance Mark Joshi 2011.pdf

My Life as a Quant-Reflections on Physics and Finance Emanuel Derman.pdf

ON BECOMING A QUANT MARK JOSHI.pdf

Principles of Financial Engineering 2ed Salih N. Neftci.pdf

Quantitative Risk Management Concepts Alexander J. McNeil.pdf

Random Processes In Physics And Finance MELVIN LAX, WEI CAI, MIN XU.pdf

Real Options Analysis JOHNATHAN MUN.pdf

return Distributions in Finance S Satchell & J Knight.pdf

Risk and Asset Allocation attilio Meucci.pdf

Security Analysis 6ed BENJAMIN GRAHAM 证券分析.pdf

Starting your career as a wall street quant Brett Jiu.pdf

Statistics and Data Analysis for Financial Engineering David Ruppert.pdf

Statistics and Finance-An Introduction David Ruppert.pdf

Statistics of financial markets Jürgen Franke ·Wolfgang K. H?rdle Christian M. Hafner.pdf

Structured Credit Portfolio Analysis, Baskets & CDOs Christian Bluhm.pdf

Structured Finance Modeling with Object-Oriented VBA Evan Tick.chm

The Analysis of Structured Securities-Precise Risk Measurement and Capital Allocation SYLVAIN RAYNES.pdf

The Knockout Formula for Finding Great Investments PAT DORSEY.pdf

The Little Book That Beats the Market Joel Greenblatt.pdf

The Quants scott patterson.pdf

the winner’s circle r j shook.pdf

Tools for Computational Finance 3rd R Seydel.pdf

Value At Risk Philippe Jorion.pdf

vault guide to advanced finance and quantitative interviews.pdf

休谟经济论文选.pdf

华尔街点金人(新金融怪杰)Jack D. Schwager.pdf

博弈论与信息经济学 张维迎.pdf

宋逢明 金融工程原理-无套利均衡分析.pdf

对冲基金手册中文版Stefano Lavinia.pdf

微观经济的数理分析 胡适耕.pdf

投入产出分析 刘起运.pdf

数学金融学 雍炯敏.pdf

期权定价推导讲义.pdf

期权定价的数学模型和方法 姜礼尚.pdf

概率,金融与保险(英文-香港大学).pdf

理财学与数学 v1.0 丁建华 清华水木.pdf

经济学的思维方式 中文版.pdf

经济数学家手册.pdf

经济数学方法与模型 angel de la fuente.pdf

股市奇才:美国股市精英访谈录 jack d schwager.pdf

西方经济学 黎诣远.pdf

计量经济学—贝叶斯推断引论 arnold zellner.pdf

计量经济学课件 郑挺国 厦大.pdf

证券分析 6ed 本杰明 格雷厄姆.djvu

说谎者的扑克牌Michael Lewis.pdf

金融中的倒向随机微分方程 彭实戈等 英文.pdf

金融工程 免试 问答大全 interviews.pdf

金融工程家论坛 文件.pdf

金融经济学十讲 史树中.文字版.pdf

金融经济学基础 robort litzenberger宋逢明译.pdf

金融经济学导论 王江.pdf

高手过招 郑振龙、方建兴.pdf

高级计量经济学 洪永淼 讲义.pdf

RiskMetrics Technical Document J.P.Morgan Reuters

杨小凯

货币论 keynes

金融数学引论 北大 课件

随机金融基础 俄罗斯 Shiryaev

10000个科学难题 数学卷.pdf

A Course In Functional Analysis Conway.pdf

A Course In Probability Theory 钟开莱.pdf

A First course in abstract algebra 3ed JOSEPH J.ROTMAN.pdf

A First Course In Stochastic Processes A Second Course In Stochastic Processes samuel Karlin.pdf

A First Course on Time Series Analysis-Examples with SAS Chair of Statistics, University of Wurzburg.pdf

A First Course on Wavelets  E. Hernandez, G. Weiss.pdf

A Handbook of Statistical Analyses using SAS Geoff Der.pdf

A Handbook of Statistical Analyses Using SPSS Sabine Landau Brian S. Everitt.pdf

A Handbook of Statistical Analyses using Stata Sophia Rabe-Hesketh Brian Everitt.pdf

A Mathematical Introduction To Control Theory Engelberg.pdf

A wavelet tour of signal processing Stéphane Mallat.pdf

Absolute Beginner’s Guide to VBA Paul McFedries.chm

Absolute C++ walter savitch 2ed.pdf

Absolute C++ 中文 walter savitch 2ed.pdf

Advanced Calculus with Applications in Statistics Andre I. Khuri.pdf

Adventures of a Mathematician (1976) Stanislaw Ulam.djvu

algebraic graph theory NORMAN BIGGS.pdf

Algorithms, Data Structures, and Problem Solving with C++ Mark Allen Weiss.pdf

An Introduction To Banach Space Theory robert e Megginson.pdf

An Introduction To Measure And Probability j c Taylor.pdf

An Introduction to Multivariate Statistical Analysis 3ed T. W. ANDERSON.djvu

An Introduction To The Mathematical-Theory Of The Navier-Stokes Equations G.P. Galdi.pdf

Analysis And Control Of Nonlinear Infinite Dimensional Systems Viorel Barbu.pdf

Analysis On Fractals Kigami.pdf

Applied Bayesian Modeling peter congdon.pdf

Applied Factor Analysis in the Natural Sciences RICHARD A. REYMENT.pdf

Applied Multivariate Statistical Analysis 6ed richard a johnson.pdf

Applied Time Series-Modelling and Forecasting Richard Harris.pdf

Basic Markov Chains And Martingales Byron Schmuland Schmuland.pdf

Bayes and Empirical Bayes Methods for Data Analysis Bradley P. Carlin.pdf

bayesian data analysis Andrew Gelman, John B. Carlin.djvu

Bioinformatics-Managing Scientific Data Zoé Lacroix and Terence Critchlow.pdf

bioinformatics-the machine learning approach生物信息学-机器学习方法 pierre Baldi.pdf

Bootstrap Method A guid for practioners and reseachers MICHAEL R. CHERNICK.pdf

C++ Primer[中文非扫描版]Stanley B Lippman.pdf

C++入门经典(第3版)ivor horton.pdf

C++程序设计_谭浩强·清华大学.pdf

Convergence Of Probability Measures Billingsley.pdf

C程序设计语言(第2版·新版)Dennis M Ritchie.pdf

Data Abstraction and Problem Solving with C++ 3Ed frank m carrano.pdf

Data Analysis Using Regression and Multilevel、Hierarchical Models ANDREW GELMAN.pdf

Data Structures and Algorithms Alfred. Aho.pdf

Design and Modeling for Computer Experiments Kai-Tai Fang Runze Li.pdf

Ergodicity And Stability Of Stochastic Processes a a Borovkov.pdf

Excel 2007 Formulas John Walkenbach.chm

Excel 2007 VBA Programmer Reference john green stephen bullen rob bovey.pdf

Excel 2010 Formulas John Walkenbach.pdf

Excel 2010 Power Programming with VBA John Walkenbach.pdf

excel hacks david raina hawley.pdf

Excel2003应用技巧.CHM

fifty challenging problems in probability with solutions frederick mosteller.pdf

Functional Analysis Lax.pdf

Functional Analysis Rudin.pdf

Functional Analysis Spectral Theory v.s. Sunder.pdf

Functional Ito calculus and stochastic integral representation of martingales Rama Cont泛函Ito微积分与鞅的随机积分表示(英文版).pdf

Geometric Probability Herbert Solomon.pdf

gnu autoconf David MacKenzie.pdf

Graphical models概率论的图形.pdf

GTM001 Introduction to Axiomatic set theory G. Takeuti w M Zaring.djvu

GTM002 Measure and Category-A Survey of the Analogies between Topological and Measure Spaces .John C Oxtoby测度和范畴:一份关于拓扑空间和测度空间类似的概要.djvu

GTM004 A Course in Homological Algebra P.J. Hilton U.Stammbach.djvu

GTM005 Categories for the Working Math Saunders Mac Lane .djvu

GTM016 The Structure of Fields David Winter .djvu

GTM016 The Structure of Fields David Winter.djvu

GTM018 Measure Theory Paul R. Halmos .djvu

GTM027 General topology John L. Kelley .djvu

Handbook of computational statistics-Concepts and methods J.E.Gentle.pdf

Handbook Of Measure Theory Pap.pdf

Handbook Of Stochastic Methods c w Gardiner.pdf

Intro to Data Management and Programming in SAS Harvard School of Public Health.pdf

Introduction to Cybernetics W. ROSS ASHBY.pdf

Introduction To Functional Analysis Taylor.pdf

Introduction To Martingale Methods In Option Pricing 严家安 鞅用于期权定价.pdf

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Introduction To Stochastic Analysis Z. Qian and J. G. Ying.pdf

Introduction to Stochastic Integration Hui-Hsiung Kuo.pdf

Large deviations and stochastic calculus大随机矩阵的大偏差与随机分析Alice Gnionnet.pdf

Large Random Matrices Lectures On Macroscopic Asymptotics Guionnet.pdf

Latex A Document Preparation System Lamport.pdf

latex in 90 mins Tobias Oetiker.pdf

Latex Notes Alpha Huang.pdf

Latex2e科技排版指南 邓建松.pdf

Latex入门与提高 陈志杰.pdf

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letex排版心得 李东风.pdf

Levy Processes And Infinitely Divisible Distributions ken iti Sato.pdf

Lie Theory And Special Functions willard Miller.pdf

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LINDO软件包介绍.pdf

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LINGO快速入门.pdf

Local Polynomial Modelling and Its Applications j fan.pdf

Long-Memory Time Series-Theory And Methods Wilfred0 Palma.pdf

Markov Processes Feller Semigroups And Evolution Equations Jan A van Casteren.pdf

martingale limit theory and its applications hall.pdf

Mathematical Principles Of Natural Philosophy Newton.pdf

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mathematical statistics keith knight.pdf

Mathematical Statistics with Applications Kandethody M.Ramachandran.pdf

Mathematical Statistics-Basic Ideas and Selected Topics bickel & Dokosum.djvu

Measure Theory j l Doob.pdf

Microeconomic Theory A Mathematical Approach james e henderson.pdf

Microsoft Office Excel 2007 Visual Basic for Applications Step by Step Reed Jacobson.chm

model-oriented data analysis V. Fedorov H. Lauter.pdf

Monte Carlo Strategies in Scientific Computing jun s liu harvard.pdf

Monte Carlo Strategies in Scientific Computing jun s liu.pdf

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MS  OFFICE 公式全集 little key.pdf

Multirate and wavelet signal processing Bruce W. Suter.pdf

Multiscale Wavelet Methods for Partial Differential Equations Wolfgang Dahmen, Andrew J. Kurdila and Peter Oswald.pdf

Neural networks and pattern recognition Omid Omidvar and Judith Dayhoff.pdf

nonparamatrics economitrics Adrian Pagan, Aman Ullah.pdf

Nonparametric and Semiparametric Models-An Introduction Wolfgang H¨ardle, Marlene M¨ uller, Stefan.pdf

Nonparametric Functional Data Analysis Theory and Practice Frédéric Ferraty Philippe Vieu.pdf

Numerical Solution Of Stochastic Differential Equations P E Kloeden & E Platen.pdf

Numerical Solution Of Stochastic Differential Equations With Jumps In Finance Eckhard Platen.pdf

open source development with cvs Moshe Bar Karl Fogel 3ed.pdf

Partial Identification Of Probability Distributions Charles F. Manski.pdf

Practical Time-Frequency Analysis-Gabor and Wavelet Transforms with an Implementation in S Ren& Ingrid Daubechies.pdf

Probabilities And Potential CLAUDE DELLACHERIE.pdf

Probability And Information a m Yaglom.pdf

Probability Inequalities概率不等式 Zhengyan Lin Zhidong Bai.pdf

Probability Theory The Logic of Science E. T. Jaynes概率论沉思录.pdf

Probability Via Expectation peter Whittle.pdf

Problems In Probability t m Mills.pdf

Pseudo Differential Operators Generating Markov Processes Walter.pdf

Python语言入门 mark lutz,david ascber.pdf

Random Matrices Mehta.pdf

Random Number Generation and Monte Carlo Methods James E. Gentle.pdf

Real Analysis with an Introduction to Wavelets and Applications Don Hong, Jianzhong Wang and Robert Gardner.pdf

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SAS编程技术与金融数据处理 朱世武.pdf

Some Random Series Of Functions Kahane.pdf

splus intro longhow lam.pdf

splus 中科大 孟强.pdf

Statistical Learning Theory vladinmir n Vapnik.pdf

Statistical Mechanics And Random Matrices Guionnet.pdf

Statistical Methods for Reliability Data WILLIAM Q. MEEKER.djvu

statistics and truth C. Radhakrishna Rao.pdf

Statistics For Long-memory Processes jan Beran.pdf

Stochastic Differential Equations Zenghu Li.pdf

Stochastic Differential Equations Zhongmin QIAN.pdf

Stochastic Finance An Introduction In Discrete Time Follmer.pdf

Stochastic Finance An Introduction In Discrete Time Hans F?llmer Alexander Schied.pdf

Stochastic Integration and Stochastic Differential Oleg Makhnin.pdf

stochastic processes amir dembo.pdf

Sums Of Independent Random Variables v v Petrov.pdf

survival analysis-Techniques for Censored and Truncated Data John P. Klein.pdf

Tex Amstex和Latex使用简介 李勇.pdf

The C++ Programming Language Bjarne Stroustrup.pdf

The Capital Asset Pricing Model-Theory and Evidence Eugene F. Fama and Kenneth R. French.pdf

The Comprehensive LATEX Symbol List letex符号大全 Scott Pakin.pdf

The Elements of Statistical Learning Data Mining, Inference, and Prediction Trevor Hastie Robert Tibshirani.pdf

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the finite element method-A Practical Course G. R. Liu.pdf

The Inverse Function Theorem Of Nash And Moser RICHARD S. HAMILTON.pdf

The Latex Graphics Companion Goossens.pdf

The Little SAS Book 3ed lora d delwiche.pdf

The Little SAS Book 4ed lora d delwiche.pdf

The Not So Short Introduction To Latex Tobias Oetiker.pdf

The TeXBook knuth 中文.pdf

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Thinking in C++ Bruce Eckel 2ed.pdf

Thinking in C++ Bruce Eckel 中文.PDF

Thinking in C++ Bruce Eckel.pdf

Thinking In Java 4ed Bruce Eckel.pdf

Time Series Analysis-univariate and multivariate methods william w s wei.pdf

Time-Frequency Time-Scale Analysis yves meyer.pdf

Tools for Statistical Inference martin a tanner.pdf

Topological Function Spaces a v Arkhangelskii.pdf

UML Distilled-a brief guide to the standard object modeling language martin flower 2ed.pdf

中国大百科全书 数学.pdf

临界点理论及其应用 张恭庆.pdf

代数特征值问题 J.H.威尔金森.pdf

休假随机服务系统 田乃硕.pdf

倒向随机微分方程及其应用 彭实戈.pdf

初等随机过程讲义 应坚刚.pdf

动态规划方法与Hamilton-Jacobi-Bellman方程 雍炯敏.pdf

千年难题七个悬赏1000000美元的数学问题 Devlin.pdf

变分学讲义 张恭庆.pdf

多元统计分析 孙文爽.pdf

对称性分岔理论基础 唐云.pdf

常用不等式 匡继昌.pdf

广义函数论 刘浩岳.pdf

应用时间序列分析实验手册 EVIEWS.doc

应用随机过程 林元烈 清华大学.pdf

应用随机过程 林元烈.pdf

应用随机过程引论 胡迪鹤.pdf

强极限定理 林正炎.pdf

数学与猜想 Polya.pdf

数学分析中的典型问题与方法 裴礼文.pdf

数学手册.pdf

数学模型 姜启源.pdf

数学模型与lingo_lindo软件 清华 谢金星.pdf

数学模型方法 齐欢.pdf

数据挖掘中的新方法-支持向量机 邓乃扬 田英杰.pdf

数理统计 汪荣鑫.pdf

数论方法在统计中的应用 方开泰.pdf

时间序列分析 谢衷洁.pdf

时间序列分析 魏武维 人大讲义.pdf

时间序列分析-高阶统计量方法-张贤达.pdf

时间序列分析与动态数据建模 杨位钦.pdf

时间序列分析导论 Chris Chatfield.pdf

时间序列的分析与应用 安鸿志.pdf

最优停止理论 周元燊.pdf

最优化原理与方法 薛毅2001.pdf

概率极限理论基础 林正炎.pdf

泛函分析讲义 关肈直.pdf

混合相依变量的极限理论 陆传荣.pdf

特殊矩阵 陈景良.pdf

矩阵分析 杨克劭.pdf

矩阵分析 王朝瑞.pdf

矩阵理论及其应用 蒋正新.pdf

矩阵论中不等式 王松桂 贾忠贞.pdf

算子函数论 李国平.pdf

统计学 贾俊平(清华04版).pdf

统计学讲义 人大贾俊平.pdf

英汉数学词汇汉英数学词汇 齐玉霞.pdf

近代概率引论-测度 鞅和随机微分方程 袁震东.pdf

随机分析讲义 Kyprianou.pdf

随机控制 郭尚来.pdf

随机游动与鞅 应坚刚.pdf

随机过程 伊藤清.pdf

随机过程 张曙光 中科大.pdf

随机过程基础 应坚刚.pdf

随机过程论 施利亚耶夫.pdf

随机过程论—基础、理论、应用 胡迪鹤.pdf

非参数统计讲义 孙山泽.pdf

非线性时间序列分析 安鸿志.pdf

鞅与随机积分引论 严加安.pdf

鞅分析及其应用 胡必锦.pdf

高等代数 丘维声 习题解答.pdf

高等数理统计 茆诗松.pdf

高等概率论及其应用 胡迪鹤.pdf

Flash Boys: A Wall Street Revolt – Michael Lewis

The Big Short: Inside the Doomsday Machine – Michael Lewis

Liar’s Poker – Michael Lewis

When Genius Failed: The Rise and Fall of Long-Term Capital Management – Roger Lowenstein

More Money Than God: Hedge Funds and the Making of a New Elite – Sebastian Mallaby

How I Became a Quant: Insights from 25 of Wall Street’s Elite – Richard Lindsey, Barry Schachter

My Life as a Quant: Reflections on Physics and Finance – Emanuel Derman

Financial Engineering: The Evolution of a Profession – Tanya Beder, Cara Marshall

The Quants: How a New Breed of Math Whizzes Conquered Wall Street and Nearly Destroyed It – Scott Patterson

Nerds on Wall Street: Math, Machines and Wired Markets – David Leinweber

Physicists on Wall Street and Other Essays on Science and Society – Jeremey Bernstein

The Complete Guide to Capital Markets for Quantitative Professionals (McGraw-Hill Library of Investment and Finance) – Alex Kuznetsov

Models.Behaving.Badly.: Why Confusing Illusion with Reality Can Lead to Disaster, on Wall Street and in Life – Emanuel Derman

Heard on The Street: Quantitative Questions from Wall Street Job Interviews – Timothy Crack

Frequently Asked Questions in Quantitative Finance – Paul Wilmott

Quant Job Interview Questions And Answers – Mark Joshi, Nick Denson, Andrew Downes

A Practical Guide To Quantitative Finance Interviews – Xinfeng Zhou

Starting Your Career as a Wall Street Quant: A Practical, No-BS Guide to Getting a Job in Quantitative Finance – Brett Jiu

Cracking the Coding Interview: 150 Programming Questions and Solutions – Gayle McDowell

Successful Algorithmic Trading – Michael Halls-Moore (my first trading book)

Advanced Algorithmic Trading – Michael Halls-Moore (my second trading book)

Quantitative Trading: How to Build Your Own Algorithmic Trading Business – Ernie Chan

Algorithmic Trading: Winning Strategies and Their Rationale – Ernie Chan

Inside the Black Box: A Simple Guide to Quantitative and High Frequency Trading – Rishi Narang

The Truth About High-Frequency Trading: What Is It, How Does It Work, and Is It a Problem? – Rishi Narang, Manoj Narang

Algorithmic and High-Frequency Trading – Álvaro Cartea, Sebastian Jaimungal, José Penalva

The Science of Algorithmic Trading and Portfolio Management – Robert Kissell

Algorithmic Trading and DMA: An introduction to direct access trading strategies – Barry Johnson

Volatility Trading – Euan Sinclair

Trading and Exchanges: Market Microstructure for Practitioners – Larry Harris

Schaum’s Outline of Statistics and Econometrics – Dominick Salvatore, Derrick Reagle

Introductory Econometrics for Finance – Chris Brooks

Introduction to Time Series and Forecasting -Peter Brockwell, Richard Davis

Time Series: Theory and Methods – Peter Brockwell, Richard Davis

Analysis of Financial Time Series – Ruey Tsay

Multivariate Time Series Analysis: With R and Financial Applications – Ruey Tsay

Time Series Analysis – James Douglas Hamilton

Options, Futures, and Other Derivatives – John Hull

A Primer For The Mathematics Of Financial Engineering – Dan Stefanica

Solutions Manual – A Primer For The Mathematics Of Financial Engineering – Dan Stefanica

Paul Wilmott Introduces Quantitative Finance – Paul Wilmott

Paul Wilmott on Quantitative Finance – Paul Wilmott

The Concepts and Practice of Mathematical Finance – Mark Joshi

More Mathematical Finance – Mark Joshi

Financial Calculus: An Introduction to Derivative Pricing – Martin Baxter, Andrew Rennie

An Introduction to the Mathematics of Financial Derivatives – Ali Hirsa, Salih Neftci

Principles of Financial Engineering – Robert Kosowski, Salih Neftci

Mathematics for Finance: An Introduction to Financial Engineering – Marek Capiski, Tomasz Zastawniak

Arbitrage Theory in Continuous Time – Tomas Bjork

The Complete Guide to Option Pricing Formulas – Espen Haug

Interest Rate Models – Theory and Practice: With Smile, Inflation and Credit – Damiano Brigo, Fabio Mercurio

Interest Rate Modeling – Vol I: Foundations and Vanilla Models – Leif Andersen, Vladimir Piterbarg

Interest Rate Modeling – Vol II: Term Structure Models – Leif Andersen, Vladimir Piterbarg

Interest Rate Modeling – Vol III: Products and Risk Management – Leif Andersen, Vladimir Piterbarg

The SABR/LIBOR Market Model: Pricing, Calibration and Hedging for Complex Interest-Rate Derivatives – Riccardo Rebonato, Kenneth McKay, Richard White

Discounting, Libor, CVA and Funding: Interest Rate and Credit Pricing – Chris Kenyon, Roland Stamm

Interest Rate Swaps and Their Derivatives: A Practitioner’s Guide – Amir Sadr

Term-Structure Models: A Graduate Course – Damir Filipovic

C++ for Quantitative Finance – Michael Halls-Moore (my C++ book on derivatives pricing)

Sams Teach Yourself C++ in One Hour a Day – Siddhartha Rao (7th edition, covering C++11)

C++: A Beginner’s Guide – Herbert Schildt

Accelerated C++: Practical Programming by Example – Andrew Koenig, Barbara Moo

Effective C++: 55 Specific Ways to Improve Your Programs and Designs – Scott Meyers

C++ Design Patterns and Derivatives Pricing – Mark Joshi

More Effective C++: 35 New Ways to Improve Your Programs and Designs – Scott Meyers

Effective STL: 50 Specific Ways to Improve Your Use of the Standard Template Library – Scott Meyers

Effective Modern C++: 42 Specific Ways to Improve Your Use of C++11 and C++14 – Scott Meyers

Discovering Modern C++: An Intensive Course for Scientists, Engineers, and Programmers – Peter Gottschling

The C++ Standard Library: A Tutorial and Reference – Nicholai Josuttis

The C++ Programming Language, 4th Edition – Bjarne Stroustrup

C++ Concurrency in Action: Practical Multithreading – Anthony Williams

Optimized C++ – Kurt Guntheroth

C++ Templates: The Complete Guide – David Vandevoorde, Nicolai Josuttis

The Linux Programming Interface: A Linux and UNIX System Programming Handbook – Michael Kerrisk

Advanced Programming in the UNIX Environment, 3rd Edition – W. Richard Stevens, Stephen A. Rago

Unix Network Programming, Volume 1: The Sockets Networking API (3rd Edition) – W. Richard Stevens, Bill Fenner, Andrew M. Rudoff

Design Patterns: Elements of Reusable Object-Oriented Software – Erich Gamma, Richard Helm, Ralph Johnson, John Vlissides

Learning Python, 5th Edition – Mark Lutz

Think Python, 2nd Edition – Allen Downey

Learn Python the Hard Way, 3rd Edition – Zed Shaw

Programming Python, 4th Edition – Mark Lutz

Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython – Wes McKinney

Data Science from Scratch: First Principles with Python – Joel Grus

Data Wrangling with Python: Tips and Tools to Make Your Life Easier – Jacqueline Kazil, Katharine Jarmul

Python for Finance: Analyze Big Financial Data – by Yves Hilpisch

Effective Python: 59 Specific Ways to Write Better Python – Brett Slatkin

High Performance Python: Practical Performant Programming for Humans – Micha Gorelick, Ian Ozsvald

Python 3 Object-Oriented Programming, 2nd Edition – Dusty Phillips

Python Machine Learning – Sebastian Raschka

Introductory Statistics with R, 2nd Edition – Peter Dalgaard

A Beginner’s Guide to R – Alain Zuur, Elena Ieno, Erik Meesters

R in a Nutshell – Joseph Adler

Introductory Time Series with R – Paul Cowpertwait, Andrew Metcalfe

An Introduction to Applied Multivariate Analysis with R – Brian Everitt, Torsten Hothorn

R Cookbook – Paul Teetor

Machine Learning with R, 2nd Edition – Brett Lantz

Click Below To Learn More About…

Algo trading. Quant careers. Machine learning.

What do quant do ? A guide by Mark Joshi.

Paul & Dominic’s Guide to Quant Careers(详看附件)

Career in Financial Markets 2011- a guide by efinancialcareers. http://static.efinancialcareers.com/assets/pdf/cifm/CIFM_US.pdf

Interview Preparation Guide by Michael Page: Quantitative Analysis. http://www.math.utah.edu/ugrad/finance/interviewprep1.pdf

Interview Preparation Guide by Michael Page: Quantitative Structuring. http://www.math.utah.edu/ugrad/finance/interviewprep2.pdf

Paul & Dominic’s Job Hunting in Interesting Times Second Edition (详看附件)

Peter Carr’s A Practitioner’s Guide to Mathematical Finance (详看附件)

Max Dama’s Guide to Automated Trading (详看附件)

Basic Black-Scholes: Option Pricing and Trading by Timothy Crack

Elementary Stochastic Calculus With Finance in View by Thomas Mikosch

Financial Options: From Theory to Practice by Stephen Figlewski

Derivatives Markets by Robert L. McDonald

An Undergraduate Introduction to Financial Mathematics by Robert Buchanan

Monkey Business: Swinging Through the Wall Street Jungle

Reminiscences of a Stock Operator

Working the Street: What You Need to Know About Life on Wall Street

Fiasco: The Inside Story of a Wall Street Trader

Den of Thieves

Traders, Guns & Money: Knowns and unknowns in the dazzling world of derivatives

The Greatest Trade Ever: The Behind-the-Scenes Story of How John Paulson Defied Wall Street and Made Financial History

Goldman Sachs : The Culture of Success

The House of Morgan: An American Banking Dynasty and the Rise of Modern Finance

Wall Street: A History: From Its Beginnings to the Fall of Enron

The Murder of Lehman Brothers: An Insider’s Look at the Global Meltdown

On the Brink: Inside the Race to Stop the Collapse of the Global Financial System

House of Cards: A Tale of Hubris and Wretched Excess on Wall Street

Too Big to Fail: The Inside Story of How Wall Street and Washington Fought to Save the Financial System-and Themselves

Liquidated: An Ethnography of Wall Street

Fortune’s Formula: The Untold Story of the Scientific Betting System That Beat the Casinos and Wall Street

Problem Solving with C++ (8th Edition) by Walter Savitch

C++ How to Program (8th Edition) by Harvey Deitel

Absolute C++ (5th Edition) by Walter Savitch

Thinking in C++: Introduction to Standard C++, Volume One by Bruce Eckel

Thinking in C++: Practical Programming, Volume Two by Bruce Eckel

The C++ Programming Language: Special Edition by Bjarne Stroustrup (C++ inventor)

Effective C++: 55 Specific Ways to Improve Your Programs and Designs by Scot Myers

C++ Primer (4th Edition) by Stanley Lippman

C++ Design Patterns and Derivatives Pricing (2nd edition) by Mark Joshi

Financial Instrument Pricing Using C++ by Daniel Duffy

C# 2010 for Programmers (4th Edition)

Computational Finance Using C and C# by George Levy

C# in Depth, Second Edition by Jon Skeet

Programming F#: An introduction to functional language by Chris Smith

F# for Scientists by Jon Harrops (Microsoft Researcher)

Real World Functional Programming: With Examples in F# and C#

Expert F# 2.0 by Don Syme

Beginning F# by Robert Pickering

Matlab: A Practical Introduction to Programming and Problem Solving

Numerical Methods in Finance and Economics: A MATLAB-Based Introduction (Statistics in Practice)

Excel 2007 Power Programming with VBA by John Walkenbach

Excel 2007 VBA Programmer’s Reference

Financial Modeling by Simon Benninga

Excel Hacks: Tips & Tools for Streamlining Your Spreadsheets

Excel 2007 Formulas by John Walkenbach

Advanced modelling in finance using Excel and VBA by Mike Staunton

Implementing Models of Financial Derivatives: Object Oriented Applications with VBA

Learning Python: Powerful Object-Oriented Programming

Python Cookbook

FINITE DIFFERENCES

Option Pricing: Mathematical Models and Computation, by P. Wilmott, J.N. Dewynne, S.D. Howison

Pricing Financial Instruments: The Finite Difference Method, by Domingo Tavella, Curt Randall

Finite Difference Methods in Financial Engineering: A Partial Differential Equation Approach by Daniel Duffy

MONTE CARLO

Monte Carlo Methods in Finance, by Peter Jäcke (errata available at jaeckel.org)

Monte Carlo Methodologies and Applications for Pricing and Risk Management , by Bruno Dupire (Editor)

Monte Carlo Methods in Financial Engineering, by Paul Glasserman

Monte Carlo Frameworks in C++: Building Customisable and High-performance Applications by Daniel J. Duffy and Joerg Kienitz

STOCHASTIC CALCULUS

Stochastic Calculus and Finance by Steven Shreve (errata attached)

Stochastic Differential Equations: An Introduction with Applications by Bernt Oksendal

VOLATILITY

Volatility and Correlation, by Riccardo Rebonato

Volatility, by Robert Jarrow (Editor)

Volatility Trading by Euan Sinclair

INTEREST RATE

Interest Rate Models – Theory and Practice, by D. Brigo, F. Mercurio updates available on-line Professional Area of Damiano Brigo’s web site

Modern Pricing of Interest Rate Derivatives, by Riccardo Rebonato

Interest-Rate Option Models, by Riccardo Rebonato

Efficient Methods for Valuing Interest Rate Derivatives, by Antoon Pelsser

Interest Rate Modelling, by Nick Webber, Jessica James

FX

Foreign Exchange Risk, by Jurgen Hakala, Uwe Wystup

Mathematical Methods For Foreign Exchange, by Alexander Lipton

STRUCTURED FINANCE

The Analysis of Structured Securities: Precise Risk Measurement and Capital Allocation (Hardcover) by Sylvain Raynes and Ann Rutledge

Salomon Smith Barney Guide to MBS & ABS, Lakhbir Hayre, Editor

Securitization Markets Handbook, Structures and Dynamics of Mortgage- and Asset-backed securities by Stone & Zissu

Securitization, by Vinod Kothari

Modeling Structured Finance Cash Flows with Microsoft Excel: A Step-by-Step Guide (good for understanding the basics)

Structured Finance Modeling with Object-Oriented VBA (a bit more detailed and advanced than the step by step book)

STRUCTURED CREDIT

Collateralized Debt Obligations, by Arturo Cifuentes

An Introduction to Credit Risk Modeling by Bluhm, Overbeck and Wagner (really good read, especially on how to model correlated default events & times)

Credit Derivatives Pricing Models: Model, Pricing and Implementation by Philipp J. Schönbucher

Credit Derivatives: A Guide to Instruments and Applications by Janet M. Tavakoli

Structured Credit Portfolio Analysis, Baskets and CDOs by Christian Bluhm and Ludger Overbeck

RISK MANAGEMENT/VAR

VAR Understanding and Applying Value at Risk, by various authors

Value at Risk, by Philippe Jorion

RiskMetrics Technical Document RiskMetrics Group

Risk and Asset Allocation by Attilio Meucci

SAS/S/S-PLUS

The Little SAS Book: A Primer, Fourth Edition by Lora D. Delwiche and Susan J. Slaughter

Modeling Financial Time Series with S-PLUS

Statistical Analysis of Financial Data in S-PLUS

Modern Applied Statistics with S

HANDS ON

Implementing Derivative Models, by Les Clewlow, Chris Strickland

The Complete Guide to Option Pricing Formulas, by Espen Gaarder Haug

NOT ENOUGH YET?

Energy Derivatives: Pricing and Risk Management, by Les Clewlow, Chris Strickland

Hull-White on Derivatives, by John Hull, Alan White 1899332456

Exotic Options: The State of the Art, by Les Clewlow (Editor), Chris Strickland (Editor)

Market Models, by C.O. Alexander

Pricing, Hedging, and Trading Exotic Options, by Israel Nelken

Modelling Fixed Income Securities and Interest Rate Options, by Robert A. Jarrow

Black-Scholes and Beyond, by Neil A. Chriss

Risk Management and Analysis: Measuring and Modelling Financial Risk, by Carol Alexander

Mastering Risk: Volume 2 – Applications: Your Single-Source Guide to Becoming a Master of Risk, by Carol Alexander

Financial Mathematics

Micro-finance including financial markets and financial institutions, investment financial engineering and financial economics, corporate finance and financial management aspects of macro-finance including monetary economics, money and banking, international finance, empirical and quantitative methods include mathematical finance and financial econometrics, following the bibliography focus on mathematical foundations of economic theory and mathematical finance section.

Analysis of functions and

What is mathematics, Oxford books

Set theory

☆ Paul R. Halmos , Naive Set Theory Naive set theory (u) Hammons (great book, profound but simple)

Set theory ( English version ) Thomas Jech (Depth)

Moschovakis , Notes on Set Theory

On the basis of the collection (English version)-the original Turing Mathematics Statistics series (u) Ende Teng 

Mathematical analysis

0 Calculus

☆ Tom M. Apostol, Calculus vol Ⅰ & II (classic advanced calculus textbook written by mathematicians / The reference books written in precise, 40Years, Second Edition, is committed to a more profound understanding of removal interval calculus and mathematical analysis, link analysis, differential equations, linear algebra, differential geometry and probability theory, learning, the prelude to real analysis, linear algebra and Multivariable calculus book best, practice was great, hard to read and difficult to understand for beginners, but with the advantages that other materials cannot have. Stewart ‘s book the same, is relatively simple. )

Carol and Robert Ash , The Calculus Tutoring Book (Good calculus resource materials)

★ R.Courant,F.John,IntroductiontoCalculusandAnalysisvol I&II (suitable for engineering, physics and applications)

Morris Kline , Calculus, an intuitive approach

Ron LarsonCalculus (With Analytic Geometry(introduction to calculus textbooks, rare clear and simplified, and Stewart with popular textbooks)

Of the advanced calculus Lynn H.Loomis / Shlomo Stermberg

Morris Kline , Calculus: An Intuitive and Physical Approach (Clear the resource materials)

Richard Silverman , Modern Calculus with Analytic Geometry

Michael , Spivak , Calculus (Interesting, for mathematics, read it or Stewart You can read Rudin Principles of Mathematical Analysis Or MarsdenElementary Classical Analysis , Then read Royden Real Analysis The Lebesgue integral and measure theory, or Rudin Functional Analysis Learning s.Banach and and spectral theory of operators on a Hilbert space)

James Stewart , Calculus (Popular textbooks for science and Mathematics Department, you can use Larson Book supplement, but slightly better than it, if you find it difficult to use Larson Bar)

Earl W. Swokowski , Cengage Advantage Books: Calculus: The Classic Edition (For engineering)

Silvanus P. Thompson , Calculus Made Easy (For Calculus for beginners, easy to read and understand)

0 in real analysis (math undergraduate level consolidation analysis) (static analysis)

Understanding Analysis , Stephen Abbott , (Introduction to real analysis book, although it is not meant to be exhaustive, but clear and concise, Rudin, Bartle, Browder Who, after all, not good at writing book, multi spoke less)

★ T. M. Apostol, Mathematical Analysis

Problems in Real Analysis Real analysis problem set ( United States ) Alipulansi, (United States), Prof Birkinshaw

☆ Of the mathematical analysis of the enterprise, the North

Hu Shi Geng, of real variable function

Of the analysis of the Elliott H. Lieb / Michael Loss

★ H. L. Royden, Real Analysis

W. Rudin, Principles of Mathematical Analysis

Elias M.Stein , Rami Shakarchi, Real Analysis : Measure Theory , Integration and Hilbert Spaces , Real analysis ( English version)

The mathematical analysis of eight told khinchine

☆ The new mathematical analysis about building of Peking University Zhou Min, and theory of functions of a real variable, Peking University

☆ Shanghai, Zhou Min intensity of the mathematical analysis of the science and technology Club

0 measure theory (overlapping with the consolidation analysis)

Probability and measure theory (English) (United States) Ashe ( Ash.R.B. ), ( United States ) Multi-lang – Dade ( Doleans-Dade,C.A. )

☆ Halmos , Measure Theory And measure theory ( English version ) (De) Holmes

0 Fourier Analysis (half of the real variable analysis and Wavelet analysis)

An introduction to Wavelets (u) Cui Jintai 

H. Davis, Fourier Series and Orthogonal Functions

★ Folland , Real Analysis : Modern Techniques and Their Applications

★ Folland , Fourier Analysis and its Applications Mathematical physics equations: Fourier analysis and its applications (English version)-era .Featured excellent teaching materials in colleges and universities in foreign countries (U) Fu Lande

Fourier Analysis (English version)-age education • featured excellent teaching materials in colleges and universities in foreign countries (U) gelafakesi

B. B. Hubbard, The World According to Wavelets: The Story of a Mathematical Technique in the Making

Katanelson , An Introduction to Harmonic Analysis

R. T. Seeley, An Introduction to Fourier Series and Integrals

★ Stein , Shakarchi , Fourier Analysis : An Introduction

0 of complex analysis (math undergraduate level of functions of a complex variable)

L. V. Ahlfors, Complex Analysis , Mathematical translation of complex analysis – a fragment bundle (u) Ahlfors ( Ahlfors,L.V. )

★ Brown , Churchill , Complex Variables and Applications Convey, Functions of One Complex Variable Ⅰ & Ⅱ

Concise complex analysis of Gong Sheng , North

Greene , Krantz , Function Theory of One Complex Variable

Marsden , Hoffman , Basic Complex Analysis

Palka , An Introduction to Complex Function Theory

★ W. Rudin, Real and Complex Analysis of the real analysis and complex analysis of the Nasruddin (standard textbooks, preferably with measure theory)

Siegels , Complex Variables

Stein , Shakarchi , Complex Analysis The complex functions of Zhuang Chetai

Functional analysis (portfolio value)

0 basic functional analysis (functions of a real variable, operator theory and Wavelet analysis)

Foundations of real analysis and functional analysis, drive their envelope, higher education

★ Friedman , Foundations of Modern Analysis

Hu Shi of the consolidation and functional no-tillage

The introduction of functional analysis and its applications kelizige Functional analysis of problem sets (printed) s. Radhakrishnan

Problems and methods in analysis , Krysicki

Xia Daoxing, functional analysis, a second course in higher education

★ Xia Daoxing, functions of real variable & functional analysis

The mathematical analysis problem set Huimin Xie, higher education

Functional analysis · 6 Edition (English version) K.Yosida

The lectures on functional analysis, Zhang Gongqing, Peking University

0 high-functional analysis (operator theory)

J.B.Conway, A Course in Functional Analysis And functional analysis tutorial ( English version)

★ Lax , Functional Analysis

★ Rudin , Functional Analysis And functional analysis (English) [ United States ] Nasruddin (Distribution and Fourier transform classic, to a topological base)

Zimmer , Essential Results of Functional Analysis

0 Wavelet analysis

Daubeches , Ten Lectures on Wavelets

★ Frazier , An Introduction to Wavelets Throughout Linear Algebra Hernandez ,

Of the wavelet methods for time series Percival

★ Pinsky , Introduction to Fourier Analysis and Wavelets

Weiss , A First Course on Wavelets

Wojtaszczyk , An Mathematical Introduction to Wavelets Analysis

Differential equations (and dynamic analysis of option pricing)

0 of ordinary differential equations and partial differential equations (differential equation stability, optimal consumption and portfolio)

V.I.Arnold,OrdinaryDifferentialEquations, ordinary differential equations (English version) (modern, difficult)

★ W. F. Boyce, R. C. Diprima, Elementary Differential Equations and Boundary Value Problems

The equations of mathematical physics Chen shuxing, Fudan University

E. A. Coddington, Theory of ordinary differential equations

A. A. Dezin, Partial differential equations

L. C. Evans, Partial Differential Equations

Ding Tongren of the higher education course in ordinary differential equations

The ordinary differential equation problem sets Filipov, Shanghai Science and technology Club

★ G. B. Folland, Introduction to Partial Differential Equations

Fritz John, Partial Differential Equations

Of the ordinary differential equations Li Yong

☆ The Laplace Transform: Theory and Applications , Joel L. Schiff (Suitable for self-study)

G. Simmons, Differntial Equations With Applications and Historecal Notes

Sotomayor of the differential equations of curves that are defined

King of the ordinary differential equation in Kaohsiung, Sun Yat-sen University

Of the differential equations and boundary value problems Zill

0 partial differential equation by finite difference method (option)

Fuxisi, finite difference methods for partial differential equations

★ Kwok , Mathematical Models of Financial Derivatives (Finite difference method for American option pricing)

★ Wilmott , Dewynne , Howison , The Mathematics of Financial Derivatives (Finite difference method for American option pricing)

0 statistical simulation methods, Monte Carlo methods Monte Carlo method in finance (American option pricing)

★ D. Dacunha-Castelle, M. Duflo, Probabilités et Statistiques II

☆ Fisherman , Monte Carlo Glasserman , Monte Carlo Mathods in Financial Engineering (The classic Monte Carlo method for financial books, brings together a variety of financial products)

☆ Peter Jaeckel , Monte Carlo Methods in Finance (Financial mathematics good, no Glasserman Good)

★ D. P. Heyman and M. J. Sobel, editors,Stochastic Models, volume 2 of Handbooks in O. R. and M. S., pages 331-434. Elsevier Science Publishers B.V. (North Holland)

Jouini , Option Pricing , Interest Rates and Risk Management

★ D.Lamberton,B.Lapeyre,IntroductiontoStochasticCalculusAppliedtoFinance(continuous-time)

★ N. Newton,Variance reduction methods for diffusion process :

★ H. Niederreiter,Random Number Generation and Quasi-Monte Carlo Methods. CBMS-NSF Regional Conference Series in Appl. Math. SIAM

★ W.H. Press and al. , Numerical recepies.

★ B.D. Ripley. Stochastic Simulation

★ L.C.G. Rogers et D. Talay, editors , Numerical Methods in Finance. Publications of the Newton Institute.

★ D.V. Stroock, S.R.S. Varadhan , Multidimensional diffusion processes

★ D. Talay,Simulation and numerical analysis of stochastic differential systems, a review. In P. Krée and W. Wedig, editors, Probabilistic Methods in Applied Physics, volume 451 of Lecture Notes in Physics, chapter 3, pages 54-96.

★ P.Wilmott and al. , Option Pricing (Mathematical models and computation).

Benninga , Czaczkes , Financial Modeling

0 numerical methods And numerical methods

Numerical Linear Algebra and Its Applications , The science society

K. E. Atkinson, An Introduction to Numerical Analysis

R. Burden, J. Faires, Numerical Methods

Of the course in approximation theory Cheney

P. Ciarlet, Introduction to Numerical Linear Algebra and Optimisation, Cambridge Texts in Applied Mathematics

A. Iserles, A First Course in the Numerical Analysis of Differential Equations, Cambridge Texts in Applied Mathematics

The numerical approximation of Jiang erxiong

The numerical analysis of Li Qingyang, Tsinghua University

Of the numerical method of the forest forest

J. Stoer, R. Bulirsch, An Introduction to Numerical Analysis

J. C. Strikwerda, Finite Difference Schemes and Partial Differential Equations

L. Trefethen, D. Bau, Numerical Linear Algebra

The numerical linear algebra Xu Shufang, Peking University

Other (not necessarily)

Of the mathematical modeling Giordano

Discrete mathematics and its applications Rosen

The course in Combinatorial mathematics Van Lint

Geometry and topology (Convex, concave set)

Topology

0 point set topology

★ Munkres , Topology : A First Course Of the topology of the James R.Munkres

Spivak , Calculus on Manifolds

Algebra (deep in the Department of mathematics, algebra) (static analysis)

0 linear algebra, matrix theory (portfolio value)

M. Artin,Algebra

Axler, Linear Algebra Done Right

★ Curtis , Linear Algeria : An Introductory Approach

W. Fleming, Functions of Several Variables

Friedberg, Linear Algebra Hoffman & Kunz, Linear Algebra

P.R. Halmos , Finite-Dimensional Vector Spaces (The classic textbook, mathematics linear algebra, note about abstract algebraic structures rather than matrix, hard to read)

J. Hubbard, B. Hubbard, Vector Calculus, Linear Algebra, and Differential Forms: A Unified Approach

N. Jacobson,Basic Algebra Ⅰ&Ⅱ

☆ Jain Of the linear algebra

Lang , Undergraduate Algeria

Peter D. Lax , Linear Algebra and Its Applications (For mathematics)

G. Strang, Linear Algebra and its Applications(for science and engineering, clearest teaching materials of linear algebra, speak a lot, his online lecture is important)

Optimization of economy

Dixit , Optimization in Economic Theory

General equilibrium

Debreu , Theory of Value

Separation theorem

★ Hildenbrand , Kirman , Equilibrium Analysis (General equilibrium)

★ Magill , Quinzii , Theory of Incomplete Markets (Incomplete market equilibrium)

★ Mas-Dollel , Whinston , Microeconomic Theory (General equilibrium)

★ Stokey , Lucas , Recursive Methods in Economic Dynamics (Macroscopic equilibrium)

Probability and statistics

Probability theory (financial products revenue estimation, decision making under conditions of uncertainty, options)

0 basic probability theory (Department of mathematics, theory of probability level)

★ The theory of probability (in three volumes), Fudan University

Davidson , Stochastic Limit Theory

Durrett , The Essential of Probability That probability theory 3 Edition (English version)

★ W. Feller,An Introduction to Probability Theory and its Applications of probability theory and its application (part 3 )-Turing Mathematics • Statistics series

Of the probability theory Foundation of the Li Xianping, higher education

G. R. Grimmett, D. R. Stirzaker, Probability and Random Processes

☆ Ross , S. a first couse in probabilityand statistics print version in China; probability based tutorials ( 7 version)-books-Turing mathematics • statistics (example)

☆ To the theory of probability Wang ren, Peking University

Wang Shouren, probability theory and stochastic processes, science society

☆ To the theory of probability Yang Zhenming, Nankai, the science society

0 theory of probability based on measure theory,

Measure theory and probability theory, programming macros, Peking University

★ D. L. Cohn, Measure Theory

Dudley , Real Analysis and Probability

★ Durrett , Probability : Theory and Examples

Jacod , Protter , Probability Essentials Resnick , A Probability Path

★ Shirayev , Probability

Strictly, measure theory, lecture notes, science society

★ Zhong Kailai, A Course in Probability Theory

0 random calculus Introduction of diffusion processes ( option pricing)

K. L. Chung, Elementary Probability Theory with Stochastic Processes

Cox , Miller , The Theory of Stochastic

★ R. Durrett, Stochastic calculus

★ Huang Zhi Yuan, introduction to stochastic analysis

Huang Zhi Yuan The scientific fundamentals of stochastic analysis

Jiang lishang, mathematical models and methods in option pricing, higher education 

An introduction to stochastic processes Kao

Karlin , Taylor , A First Course in Stochastic Prosses (For graduate students)

Karlin , Taylor , A Second Course in Stochastic Prosses (For graduate students)

Stochastic process, laws, China

☆ J.R.Norris,MarkovChains(needs a basis)

★ Bernt Oksendal, Stochastic differential equations (An excellent introduction to stochastic differential equations book, focus on Brownian motion,Karatsas Shreve Book short read, preferably with probability theory, reading the book can read financial literature, the financial part Shreve Good)

★ Protter , Stochastic Integration and Differential Equations (Well-written)

★ D.Revuz,M.Yor,ContinuousmartingalesandBrownianmotion(continuous martingale)

Ross , Introduction to probability model (For start)

★ Steel , Stochastic Calculus and Financial Application (With Oksendal Level, focusing on financial, narrative interesting and weaken academic, stochastic differential and martingale)

☆ The general theory of stochastic processes, Wang zishen, of Beijing Normal University

0 probability, stochastic calculus applications (continuous-time finance)

Arnold , Stochastic Differential Equations

☆ To the theory of probability and its applications in investment, insurance, engineering Bean

Damien Lamberton,Bernard Lapeyre. Introduction to stochastic calculus applied to finance.

David Freedman.Browian motion and diffusion.

Dykin E. B. Markov Processes.

Gihman I.I., Skorohod A. V.The theory of Stochastic processes Jiheman, theory of stochastic processes, the scientific

Lipster R. ,Shiryaev A.N. Statistics of random processes.

★ Malliaris , Brock , Stochastic Methods in Economics and Finance

★ Merton , Continuous-time Finance

Salih N. Neftci , Introduction to the Mathematics of Financial Derivatives

☆ Steven E. Shreve , Stochastic Calculus for Finance I: The Binomial Asset Pricing Model ; II: Continuous-Time Models (The best stochastic calculus and financial (price theory) book, easy to read books in financial engineering, no measure on the basis of the first few chapters will be difficult, discrete-time model Naftci Clear, Shreve Online tutorial is also very good)

Sheryayev A. N. Ottimal stopping rules.

Wilmott p., J.Dewynne,S. Howison. Option Pricing: Mathematical Models and Computations.

Stokey , Lucas , Recursive Methods in Economic Dynamics

Wentzell A. D. A Course in the Theory of Stochastic Processes.

Ziemba , Vickson , Stochastic Optimization Models in Finance

0 probability, stochastic calculus applications (Advanced)

Nielsen , Pricing and Hedging of Derivative Securities

Ross , Of the mathematical finance preliminary An Introduction to Mathematical Finance : Options and other Topics

Shimko , Finance in Continuous Time : A Primer

0 probability theory and martingale theory

★ P. Billingsley,Probability and Measure

K. L. Chung & R. J. Williams,Introduction to Stochastic Integration

Doob , Stochastic Processes

Strictly, selected topics in stochastic analysis, scientific

0 probability theory and martingale theory Stochastic processes and derivative products (Advanced)

★ J. Cox et M. Rubinstein : Options Market

★ Ioannis Karatzas and Steven E. Shreve , Brownian Motion and Stochastic Calculus (Hard to read advanced stochastic processes for important textbooks, if not quite a mathematical skills, or to read Oksendal , Combined with Rogers & Williams Read the book is better, option pricing, martingale)

★ M. Musiela – M. Rutkowski : (1998) Martingales Methods in Financial Modelling

★ Rogers & Williams , Diffusions, Markov Processes, and Martingales: Volume 1, Foundations ; Volume 2, Ito Calculus (Simple and implements complex analysis, Laplace transformations, Markov chains, in particular, to read 1 Volume)

★ David Williams , Probability with Martingales (Easier to read, measure theory, the martingale method book, high probability theory teaching materials)

0 martingales theory and stochastic processes

Duffie , Rahi , Financial Market Innovation and Security Design : An Introduction , Journal of Economic Theory

Kallianpur , Karandikar , Introduction to Option Pricing Theory

★ Dothan , Prices in Financial Markets (A discrete-time model)

Hunt , Kennedy , Financial Derivatives in Theory and Practice

He Sheng Wu, Wang Jiagang, strict, half martingales and stochastic analysis, the science society

★ Ingersoll , Theory of Financial Decision Making

★ Elliott Kopp , Mathematics of Financial Markets (Continuous-time)

☆ Marek Musiela , Rutkowski , Martingale Methods in Financial Modeling (Asset pricing theory of martingale methods best book read Hull Book of choice, read first Rogers & Williams 、 Karatzas and Shreve Bjork Lay a good foundation)

0 to weak convergence and convergence of stochastic processes

★ Billingsley , Convergence of Probability Measure

Davidson , Stochastic Limit Theorem

★ Ethier , Kurtz , Markov Process : Characterization and Convergence Hall , Martingale Limit Theorems

★ Jocod , Shereve , Limited Theorems for Stochastic Process

Van der Vart , Weller , Weak Convergence and Empirical Process

Operational research

Optimization, game theory, mathematical programming

Stochastic control, optimal control 0 (portfolio construction)

Borkar , Optimal control of diffusion processes

Bensoussan , Lions , Controle Impulsionnel et Inequations Variationnelles

Chiang , Elements of Dynamic Optimization

Dixit , Pindyck , Investment under Uncertainty

Fleming , Rishel , Deterministic and Stochastic Optimal Control

Harrison , Brownian Motion and Stochastic Flow Systems

Kamien , Schwartz , Dynamic Optimization

Krylov , Controlled diffusion processes

0-control theory (optimization)

Mathematical statistics (portfolio decisions, risk management)

0 basic statistics (not based on measure theory)

★ R. L. Berger, Cassell, Statistical Inference

Bickel , Dokosum , Mathematical Stasistics : Basic Ideas and Selected Topics

★ Birrens , Introdution to the Mathematical and Statistical Foundation of Econometrics

Lectures on mathematical statistics, Chen Jiading, higher education

★ Gallant , An Introduction to Econometric Theory

R. Larsen, M. Mars, An Introduction to Mathematical Statistics

☆ The probability theory and mathematical statistics, Li Xianping, Fudan University

☆ Papoulis , Probability , random vaiables , and stochastic process

☆ Stone , Of the probability and statistics

★ The Sun Yat-sen University Department of statistics, probability theory and mathematical statistics, higher education

0 based on the theory of mathematical statistics ( Measure theory)

Berger , Statistical Decision Theory and Bayesian Analysis

Chen Xiru, advanced mathematical statistics

★ Shao Jun , Mathematical Statistics

★ Lehmann , Casella , Theory of Piont Estimation

★ Lehmann , Romano , Testing Statistical Hypotheses

Of the mathematical statistics and data analysis Rice

0 asymptotic statistics

★ Van der Vart , Asymptotic Statistics

0, parameter estimation method of modern statistical theory, non-parametric statistical methods

Parameters Econometrics, Semiparametric econometric, self-help method to econometrics, empirical likelihood

Statistics section

1 , The statistics, exploratory data analysis David Freedman China’s statistics (The statistics speak well)

2 、 Mind on statistics Machinery industry (Only high school level)

3 、 Mathematical Statistics and Data Analysis Machinery industry (This book is very good ideas about a lot of new things)

4 、 Business Statistics a decision making approach China statistics (Utility)

5 、 Understanding Statistics in the behavioral science China statistics

Return to section

1 And the application of the linear regression China statistics (blue book series, there is a certain depth, very good)

2 、 Regression Analysis by example , (Attractive, less derived)

3 、《 Logistics Regression model-methods and applications Wang Jichuan Guo Zhigang higher education (not much domestic classical statistical packages)

Multi-

1 And the application of multivariate analysis Wang Xuemin Shanghai University of Finance (domestic good statistical textbooks)

2 、 Analyzing Multivariate Data , Lattin Machinery industry (Visual, math requirements are not high)

3 、 Applied Multivariate Statistical Analysis , Johnson & Wichem China statistics (very high)

The journal of applied regression analysis and other Multivariable methods Kleinbaum

The multivariate data analysis Lattin

Time sequence

1 And the business and economic forecasting, time series models Francis (of focus on application, classic)

2 、 Forecasting and Time Series an applied approach , Bowerman & Connell (By Box-Jenkins(ARIMA) Method, attach the SAS Minitab Program)

3 , The time series analysis: forecasting and control Box , Jenkins China statistics

Of the forecasting and time series Bowerman

Sample

1 And the sampling technique Cochrane (of authority in this field, the classic book. Difficult to understand-even understand each formula may not be able to understand its meaning)

2 、 Sampling: Design and Analysis , Lohr China statistics (spoke in a lot of new, hard to understand)

Software and other

1 、《 SAS Statistical analysis software and applications Wang Jili Zhang yaoxue Chambers Editor (books)

2 、《 SAS V8 Basic tutorial Wang Jiagang series statistics, China (focus on programming, not what statistics)

3 、《 SPSS11 Statistical analysis tutorial (Basic) (Advanced) Medstatstar hope publishing house, Beijing

4 And the statistical analysis of financial markets Zhang Yaoting with Guangxi Normal University (short)

Economics and financial mathematics

Econometrics, time series analysis (regression analysis (analysis of hedging) and multivariate analysis (factor analysis and principal components analysis (risk management))) 

John Y. Campbell, Andrew W. Lo, A. Craig MacKinlay, and Andrew Y. Lo , The Econometrics of Financial Markets (Concise financial economics textbooks, not related to macro-financial (macro and Monetary Economics), well read, requires some basic economics and finance, without DuffieCochrane High)

★ John H. Cochrane , Asset Pricing (Easier to read, and writing modern, necessary financial economics, reading can read papers in the field, to study financial mathematics or reading Duffie Bar)

☆ Russell Davidson , Econometric Theory and Methods (Intermediate books spoke most clearly, Biglin reads much better, although not Lin Wenfu classic)

★ Darrell Duffie , Dynamic Asset Pricing Theory (Continuous-time dynamic programming, although easy to read is the best functional analysis, measure theory, stochastic calculus and vector space optimization knowledge base, there is no Hull Good reads)

★ Golderberg , A Course in Econometrics

☆ William H. Greene , Econometric Analysis (Intermediate Econometrics, classic, hard to read, the focus is not prominent, suited for reference books)

☆ Gujarati And Econometrics (junior classic, easy to read but a bit old)

☆ Lin Wenfu Fumio Hayashi , Econometrics (Intermediate, classical theory of econometrics, and first two chapters of important to certain mathematical Foundation and teacher guidance, Biglin books easier to read)

Helmut Lütkepohl , Markus Krātzig , Applied Time Series Econometrics , The journal of applied econometrics time series

Ian Jacques , Mathematics for Economics and Business , Of the business and economic mathematics

B. Jerkins,Time Series Analysis:Forecasting & Control

☆ Peter Kennedy, A Guide to Econometrics (An excellent primary materials, easy to understand, and Woodridge-not of the modern method) Peter, the Guide to econometrics

☆ Robert s. pindyck of the econometric models and economic forecasts Econometric Models and Economic Forecasts

Robert s. pindyck of the investment under uncertainty

Roger Myerson, Curt Hinrichs, Probability Models for Economic Decision , Of the probability model of economic decision making

★ J. H. Stock, M. W. Watson, Introduction to Econometrics

A.H.Studenmund,IntroductoryEconometricswithApplications, the journal of applied econometrics (Basic)

T.J.Watsham,K.Parramorethe quantitative methods in finance 

★ Jeffrey Wooldridge , Introductory Econometrics: A Modern Approach (Beginner, not on mathematical reasoning, learning, and for economic majors, not suitable for statistics, Kennedy Books from it, guzhaladi’s book is deeper than it)

☆ Wooldridge Woodridge, Econometric Analysis of Cross Section and Panel Data The econometric analysis of cross section and panel data (the classic micro-econometric theory, Green Hayashi Two books supplement, require primary or secondary basis, easier to read)

Shao Yu of the micro-finance and mathematical basis of the Tsinghua University

0 time series modeling, time series analysis and its algorithm

McKenzie , Research Design Issues in Time-Series Modeling of Financial Market Volatility

Watsham , Parramore , Quantitative Methods in Finance

0 mathematical finance Econometrics of Finance

Abramowitz , Stegun , Handbook of Mathematical Functions

Briys , Options , Futures and Exotic Derivatives

★ Brockwell, P. and Davis, Time series : theory and methods

☆ The introduction of financial econometrics Chris Brooks ( Chris Brooks )

★ Campbell, J.Y., A.W. Lo and A.C. MacKinlay, The econometrics of financial markets (Consumption of capital asset pricing model)

Cox , Huang , Option Pricing and Application , Frontiers of Financial Theory

Dempster , Pliska , Mathematics of Derivative Securities

☆ Walter Enders, Applied Econometric Time Series (Great book of time series analysis, much easier to read than Hamilton’s classic)

★ Gourieroux, G., ARCH models and financial applications

★ James Douglas Hamilton, Time series analysis The time series analysis Hamilton (classics of the time series, focusing on the theory and technology, not suitable for the beginner, need a basis, available statistics and economic)

★ Hamilton, J. and B. Raj, (Eds), Advances in markov switching models

Karatzas , Lectures on the Mathematics of Finance

★ Lardic S., V. Mignon, Econom é trie des s é ries temporelles macro é conomiques et financi è res. Economica.

★ The continuous-time finance Robert k. Merton ( Robert Merton ) Continuous time finance

★ Mills, T.C., The econometric modelling of financial time series

★ Muselia , Rutkowski , Martingale Models in Financial Modeling (Continuous-time pricing, options)

★ Pliska , Introduction to Mathematical Finance : Discrete Time Models (Discrete-time model of advanced materials) An introduction to mathematical finance – a discrete-time model

★ Reinsel, G., Elements of multivariate time series analysis

Of the financial mathematics Stampfli

☆ Ross , An Introduction to Mathematical Finance : Options and other Topics, Ross S. M., The mathematical finance preliminary Ross (Sheldon M.Ross) (Portfolio)

Schachermayer , Introduction to the Mathematics of Financial Markets

★ Tsay, R.S., Analysis of financial time series Ruey s. Tsay in the analysis of financial time series (Ruey S.Tsay) (U)

Software:

1 、 EViews

2 、 SAS

Micro-economics

★ Masi·kelaier of microeconomics Andreu Mas-Colell Green, Microeconomic Theory (High top, micro-encyclopedia. General equilibrium speaks well suited to learn differential equations and real analysis and linear algebra Department of economics students, business students can most understand it’s okay. Part of game theory in conjunction with Kreps and Tirolethe theory of industrial organization)

☆ Of the advanced microeconomic theory Advanced Microeconomic Theory Jerry / Swiss-Nepal Geoffrey A. Jehle / Philip J. Reny (Advanced Start, the first half well written, second only to HAL Varian, game theory in general but concise. No masikelaier comprehensive and complicated, simple and accurate and easy to understand, the two books complement each other. Analysis of bifanlian and Nicholson, and want to use it without complex geo-high)

☆ A Course in Microeconomic , David M. Kreps (Advanced, focused on game theory, other generally written in easily and lack of rigorous, masikelaier supplement)

★ Gregory Mankiw’s principles of Economics ( Primary)

☆ Walter Nicholson etl , Microeconomic Theory: Basic Principles and Extensions (Let you easily grasp and falls in love with micro, intermediate to senior masikelaier Robert s. pindyck transition, weak in game theory)

★ Robert s. pindyck Robert Pindyck Of the micro-economics Microeconomics (Intermediate, easy simple, covering different aspects of micro, such as game theory and the pricing strategy. Suitable for beginners, focusing on applications, mathematics and theoretical analysis on less people know but don’t know the why. As a weak secondary, for intermediate)

★ Paul Samuelson Economics (Basic, but mathematical reasoning)

★ Stiglitz Economics (first class)

★ HAL Varian microeconomics: a modern perspective Intermediate Microeconomics: A Modern Approach (Intermediate, too little math)

★ HAL Varian microeconomics advanced course (Advanced base, too short, instead of mathematics to explain the concept in words, the first half well, suitable for learning, by looking at meaningless, to HAL Varian Kreps Claire) Hal R. Varian , Microeconomic Analysis

☆ Five: selling the Orange statement (getting started)

Macroeconomics

Aobosifaerde, and ruogefu: the advanced course in international finance Foundations of International Macroeconomics by Maurice Obstfeld and Kenneth S. Rogoff (Writing can also be improved, senior, well-known authors, applications and practice a lot, harder than Krugman)

★ Robert J. Barro, Economic Growth

★ Olivier Blanchard Blanchard of the macro-economics Macroeconomics (For major in finance or economics, maths is harder than Greg Mankiw, there’s a Intermediate Algebra, trigonometry and calculus and statistics, the exercise did not answer, other professional and Mankiw. As intermediate seems difficult (of course more difficult for advanced mathematical), the system clearly)

Blanchard Olivier Jean Blanchard The lectures on Macroeconomics Lectures on Macroeconomics (Advanced) (macro and Monetary Economics, as a senior is too easy)

Dennis R. Appleyard , Alfred J. Field , International economics

★ Rudiger Dornbusch of the macro-economics (intermediate)

☆ Krugman of the International Economics (intermediate)

☆ The recursive method of economic dynamics Lucas (GAO Hong’s top teaching) recursive method in economics dynamics by Robert e. Lucas

★ Greg Mankiw N. Gregory MankiwmacroeconomicsMacroeconomics(intermediate, clear and concise, as his principle of simplifying as far as possible, but no how get paid? Or Blanchard and Rudiger Dornbusch, a professional and deep was Romer. )

¡Ï advanced macroeconomics David . Romer (Advanced Start) Advanced Macroeconomics by David Romer(wide, macro models, analysis of high quality, less mathematics to explain mathematics can be more concise, easy to cause confusion, open macroeconomics this is not enough, not suitable for core intermediate books) 

★ International Economics in El Salvador

☆ Of the dynamic macroeconomic theory Sargent (basic textbook Gao Hong) Recursive Macroeconomic Theory by Lars Ljungqvist Thomas I. Sargent

Sachs macroeconomics in the global perspective

Of the financial economics

Economic history / The history of economic thought

Of the financial history of Western Europe

The American economic history of Cambridge

The history of economic analysis

Aikelunde, and Herbert: the history of economic theory and methods

Roger E. Backhouse , The History of Economic

Stanley L. Brue , The Evolution of Economic Thought And the history of economic thought

Spiegel: the growth of economic thought

Of the methods of analysis in economics Akira Takayama

Michael Todaro , Stephen Smith , Economic Development , Of the development economics

Finance

Allen , Santomero , The Theory of Financial Intermediation , Journal of Banking and Finance

★ Of the finance Zvi bodioe (Zvi Bodie), Robert k. Merton (Robert Merton)

★ The investments Zvi bodioe ( Zvi bodie ), Yalikesi·Kaien ( Alex Kane ), Alan Marcus ( Alan Marcus ) Investments (Capital, interest rates and the discount) 

Bodie , Essentials of Investments

Dubofsky , Options and Financial Futures : Valuation and Uses

Dunbar , Invent Money : The Story of Long-Term Capital Management and the Legend behind it

★ Erichberger , Harper , Financial Economics

Fabozzi , Foundations of Financial Markets and Institutions

James , Webber , Interest Rate Modiling

★ Jarrow , Finance Theory

★ LeRoy , Werner , Principals of Financial Economics (Mean-variance method)

★ Madura of the structure of financial markets and

Malkiel , A Random Walk Down Wall Street

Mayer , Money , Banking and the Economy Meyer of the monetary, banking and economic

McMillan , McMillan on Options

Mel’nikov , Financial Market-Stochastic Analysis and the Pricing of Derivative Securities

The money and banking Mishkin

Naftci , Investment Banking , and Securities Trading

Nassim , Taleb , Dynamic Hedging

Pelsser , Efficient Methods for Valuing Internet Rate Derivatives

Ritchken , Theory , Strategy and Applications

Santomero , Financial Markets , Instruments and Institutions

Saunders , Financial Institutions Management : A Modern Perspective

★ William of the investment F• Sharp ( William F.Sharpe ), Gordon J• Alexander ( Gordon J.Alexander ), Jeffrey V• Bailey ( Jeffery V.Bailey )Investments (Capital, interest rates and the discount)

Shefrin , Behavioral Finance

Of the monetary theory and policy Carl E. Walsh

Willmott , Dewynne , Howison , The Mathematics of Financial Deribatives

Zhang , Exotic Options

Corporate finance

Bernstein , Capital Idea : The Improbable Origins of Modern Wall Street

Scott Besley, Eugene F. Brigham, Essentials of Managerial Finance Of the essentials of financial management

Richard A. Brealey, Stewart C. Myers, Principles of Corporate Finance The principle of corporate finance

Brennan , The Theory of Corperate Finance

Burroughs , Helyar , Barbarians in the Gate : The Fall of RJR Nabisco

Copeland , Financial Theory and Corporate Policy

Damodaran , Applied Corporate Finance : A User’s Manual

Damodaran , Corporate Finance : Theory and Practice

Emery , Finnerty , Corporate Financial Management

☆ Corporate finance, Stephen A. Ross ( Stephen A.Ross ), Luodeerfu W. Weisitefeierde ( Radolph W.Wdsterfield ), Jiefuli F. Jiefu ( Jeffrey F.Jaffe )

☆ To the theory of corporate finance • ladder Jordan ( Jean Tirole )

Valuation : Measuring and Managing the Value of Companies

1. the theory of finance

Asset pricing:

★ Duffie , Futures Markets (Forward contracts and futures contracts)

Duffie: security market

★ The fundamentals of financial economics Huang Qifu ( Chi-fu Huang ), Luobote·baobo·lizisenboge ( Robert H. Litzenberger ) Foundation for financial economics

★ Ingersoll: Theorey of financial decision making

Ross: Neoclassical Finance

Underwriting:

Company mergers and acquisitions:

  2. Introduction and General

Amman: Credit risk valuation

★ Baxter M., Rennie A., Financial Calculus : An Introduction to Derivative Pricing (Financial engineering required reading step by step introduction to stochastic calculus and financial partial differential equation is Willmott Focus on theory, only elementary calculus and probability theory) of the mathematical finance an introduction to derivative pricing

Bielecki, Rutkowski: Credit Risk : Modeling , Valuation and Hedging

★ Tomas Bjork: Arbitrage theory in continuous time ( Hull Follow-on intermediate book, continuous-time pricing, options)

Cvitanic, Zapatero: Introduction to the economics and mathematics of financial markets

★ Dana , Jeanblanc , Financial Markets in Continuous Time (Continuous-time)

Duffie Singleton: Credit Risk

★ Elliott, Kopp: Mathematics of Financial markets

★ Fouque , Papanicolau , Derivatives in Financial Markets with Stochastic Volatility (Stochastic volatility)

★ Gourieroux , ARCH Models and Financial Applications ( ARCH Model and GARCH Model)

★ Harris:Trading and Exchanges: Market Microstructure for Practitioners (Detailing various types of securities transactions)

★ Options, Futures, and Other Derivatives Yuehan·Heer the options, futures and other derivatives (John c. Hull) (derivatives and mathematical finance primary classical materials, Organization for futures and options markets, forward contracts, option pricing, options trading and futures contracts)

Hull , J. C. , Risk Management and Financial Insititutions Of the risk management and financial institutions

★ Karatzas Shreve: Methods of mathematical finance (American-style option, stochastic differential, continuous-time dynamic programming, martingale, continuous-time model of advanced materials)

☆ Lawrence G. McMillan , Options as a Strategic Investment

Rrederic S. Mishkin, Financial Markets and Institutions Of the financial markets and financial institutions

★ Mishkin the economics of money banking and financial markets 

★ Nelken , Pricing , Hedging , and Trading Exotic Options (Exotic options)

☆ Sheldon Natenberg , Option Volatility & Pricing: Advanced Trading Strategies and Techniques

Edgar A. Norton , Introduction to Finance : Markets , Investments and Financial Management Introduction to the financial markets, investment and financial management of

★ Lewis , Option Valuation under Stochastic Volatility : with Mathemetical Code (Stochastic volatility)

Principles of financial engineering by ☆ Saleh . Neifusi (Salih N.Neftci)

Peter Rose, Sylvia C. Hudgins, Commercial Bank Management The management of commercial banks

Peter S. Rose, Money and Capital Markets Of the financial markets

Shreve:Stochastic Calculus Models for Finance vol 1 & 2

Taleb:Dynamic Hedging

Lloyd B. Thomas, Money, Banking, and Financial Markets Money, banking and gold Of the financial markets

☆ Of the financial economics Wang

Robert E. Whaley, Derivatives: Markets, Baluation, and Risk Management Of the derivative

Paul Wilmott, Paul Wilmott introduces quantitative finance Of the financial econometrics

Wilmott P.: quantitative finance (Interest rate)

★ Wilmott P. , Derivatives : The Theory and Practice of Financial Engineering (Option pricing, good use of partial differential equations)

  3. fixed income

★ Bielecki , Rutkowski , Credit Risk : Modeling , Valuation and Hedging (High default risk materials)

★ Brigo , Mercurio , Interest Rate Models : Theory and Practice (Fixed-income securities and interest rate derivatives)

Cherubini , Copula Methods in Finance

Haung , zhang , Option Pricing Formulas

Hayre: Salomon Smith Barney Guide to Mortgage-Backed and Asset-Backed Securities Lando , Credit Risk

Lewis , Option Valuation in Stochastic vol

Lipton , Mathematical Methods for Foreign Exchange

★ Martellini , Priaulet , Fixed-Income Securities : Dynamic Methods for Interest Rate Risk Pricing and Hedging (Fixed-income bonds, interest rate derivatives)

★ Martellini , Priaulet Fixed-Income Securities : Valuation , Risk Management and Portfolio Strategies (Fixed-income bonds, interest rate derivatives)

Mecurio , Fabio , Interest Rate Models and Practice

★ Pelsser , Efficient Methods for Valuing Interest Rate Derivatives (Fixed-income securities and interest rate derivatives) Schonbucher , Credit Derivatives Pricing Models

★ Sundaresan , Fixed Income Markets and Their Derivaties (Fixed-income bonds, interest rate derivatives) Senda sang of the fixed income securities market and its derivatives 

Tavakoli: Collateralized Debt Obligations and Structured Finance

Tavakoli: Credit Derivatives & Synthetic Structures: A Guide to Instruments and Applications

Tuckman: Fixed Income Securities: Tools for Today’s Markets

Fabozzi Fabozzi Books:

★ Bond Markets : Analysis and Strategies (Fixed-income bonds, interest rate derivatives)

★ Capital Markets , Institutions and Instruments (Organization)

Collateralized Debt Obligations: Structures and Analysis

Fixed Income Mathematics

Fixed Income Securities

Handbook of Mortgage Backed Securities

Interest Rate, Term Structure, and Valuation Modeling

The Handbook of Fixed Income Securities,

Investment management

  4: Other classes Rebonato :

  Volatility and Correlation : The Perfect Hedger and the Fox

  Modern Pricing of Interest-Rate Derivatives : The LIBOR Market Model and

Beyond

  Interest-Rate Option Models : Understanding, Analysing and Using Models

for Exotic Interest-Rate Options

  GENCAY: An Introduction to High-Frequency Finance

  O’Hara:Market Microstructure Theory

Important book (does not have to. Now few will go throughout the study 18, and19 all these magnificent works of the century. ):

☆ The economic table fulangsiwa • Quesnay

Thomas of the British wealth derived from foreign trade

The selected works of Hume’s economic theory of David Hume

☆ The wealth of the theory of moral sentiments by Adam Smith

The principle of population Thomas Robert Malthus

Introduction to political economy Rang·badisite·Sayi

The principles of political economy McCulloch

☆ To the theory of taxation of the political arithmetic ofthe currency on the William petty

☆ Guanzi

Principles of political economy and taxation by ☆ David Ricardo

☆ New principles of political economy, Ximeng·de·xisi cover

Of the national system of political economy Fulidelixi·lisite

The principles of political economy John Stuart Mill

☆ Das Karl Marx

☆ The Anti-Dühring, Engels

☆ The complete works of Marx and Engels

The theory of political economy Weilian·sitanli·jiewensi

The principle of national economy of Carl Menger

The essence of pure economics Liang·waerlasi

The capital and interest of the positive theory of capital Ougen·Feng·pangbaweike

The dynamics of luoyi·fubusi·haluode

Principles of Economics by ☆ afulide·maxieer

☆ The Federal Communications Commission, the problem of social cost, the company, the market and the nature of the Corporation, the property rights of the legal and institutional changes R• Kos

The economic system of capitalism Oliver Williamson

Social choice and individual values, ARO

☆ The economic interpretation of the theory of share tenancy, Steven Cheung

The comparative institutional analysis of Aoki

☆ The Ricardian Theory of Production and Distribution, The risk, uncertainty and profit, Frank Knight 

☆ To the theory of monopolistic competition Chamberlain

☆ To the theory of Fisher

☆ The price theory of the consumption function theory of the quantity theory of money and the other saying the Marshallian demand curve, capitalism and freedom Milton Friedman

☆ Friedman of the monetary history of the United States, Schwartz

☆ Of the uncertainty, evolution and economic theory Some Economics of Property Rights, A• A. alchain

☆ Of the University of Economics A• A. alchain, Ellen

The property right and system changes-the collected works of property right theory and the translation of new system school R• Kos, A• A. alchain, road gelasi·nuosi

The contractual economics of Coase, Hart, Stiglitz

☆ The structure and change in economic history, the road of the rise of the Western world gelasi·nuosi

☆ The development of utility theory, industrial organization, George Stigler

Of the interest and price kenute·weikesaier

Conditions of the distribution of wealth and the economic progress of the John Bates Clark Medal

The theory of the distribution of wealth qiaozhi·Lamu game

The theory of the leisure class Tuoersitan·bende·fanbolun

Of the boom from the competition ludeweixi·aihade

History of the theory of economic development, economic analysis, capitalism, socialism and democracy, Joseph Alois schhumpeter

The economics of shortage of yanuoshi·keneier

☆ ASE·saixier of the welfare economics Pigou

☆ The economics of imperfect competition and the introduction of modern economics Joan Robinson

The economic analysis of human behavior in the family of Nations and · S• Becker

The economic growth theory of Lewis

The theory of democratic finance Buchanan

The conflict strategy of Schelling

The economic development strategy of aibote·heximan

The comparative financial analysis of Richard A• Musgrave

☆ The general theory of employment, interest and money, monetary theory of John Maynard Keynes

The value and capital of the theory of economic history John Richard Hicks

The road to serfdom Hayek

An introduction to the theory of socialist economic growth mihaer·kalaisiji

The economic cycle theory of Lucas

The economic growth of the countries of the modern growth of the Kuznets

The stages of economic growth Rostow

The theory of monetary equilibrium Myrdal

Kang Mang of the institutional economics

Money and capital in economic development, Ronald I• McKinnon

The economics and public goals of the affluent society Yuehan·kennisi·jiaerbuleisi

The transformation of traditional agriculture and the human capital investment of Theodore · W• Schultz

The development concept in the general theory of economic activities in the new position F• Perroux

Of the capital formation in the developed countries R• Knox

Of the theory of economic growth of the solo

The stages of economic growth Woerte·luosituo

The competitive advantage of Nations Porter

Schumacher of the small is beautiful

The poverty and famine, collective choice and social welfare, rereading Adam Smith, Economist

Of the nature and significance of economic science

Principles of Economics by Yang xiaokai

Of the human capital investment Xiaoduo·weilian·shuerci

Of the methodology of Economics mark blaug

Other reference books:

Andeson O. D. Editor, Time Series Analysis: Theory and Practice

Bingham N. H., Kiesel R., Risk-Nertral Valuation Pricing and Hedging of Financial Derivatives

Buchan M. J., Convertible Bond Pricing: Theory and Evidence

John Y. Campell , Andrew W. Lo, The Econometrics of Financial Markets

Chen J., Gupta A. K., Parametric Statistical Change Point Analysis

Chow Y. S., Teicher H., Probability Theory: Independence, Interchangeability, Martingales

Christian P. R., George C., Monte Carlo Statistical Methods

Thomas E. Copeland, Finance Theory and Corporate Policy

Csòrgǒ M., Horváth L., Limit Theorems in Change-Point Analysis

Alison Etheridg , Financial mathematics course (option pricing, martingale)

R. V. Norbert Haug, A. T. Mr Clegg, an introduction to mathematical statistics

Harrison J. M., Brownian Motion and Stochastic Flow System

Hsiao C., Analysis of Panel Data

Jorion P., Value at Risk: the New Benchmark for Managing Financial Risk

Edward P. C. Kao, An Introduction to Stochastic Processes

Takeaki Kariya, Quantitunive Methods for Portfolio Analysis (Portfolio)

Korn R., Optimal Portfolio

Kwok Y. K., Mathematical Models of Financial Derivatives

Levy H., Stochastic Dominance: Investment Decision Making under Uncertainly (Portfolio)

Lin X. S., Introductory Stochastic Analysis for Finance

Markowitz H. , Mean-Variance Analysis in Portfolio Choice and Capital Markets (Transaction costs, portfolio)

Markowitz H. , Portfolio Selection: Efficient Diversification of Investment

Percival D. B., Walden A. T., Wavelet Methods for Time Analysis (Wavelet)

Peters E. E., Fractal Market Analysis: Applying Chaos Theory to Investment and Economics

Rosen L. R., The McGraw-Hill Handbook of Interest Yield and Returns

Willmott P., Dewynne J., Option Pricing: Nathematical Model and Computation

Game theory

☆ Theory of games Zhu·fudengboge Jordan • ladder (top of game theory textbooks) Game Theory by Drew Fudenberg Jean Tirole

☆ Gibbons of the basic game theory (Game theory) a Primer in Game Theory by Roerbt Gibbons

Jack Hirshleifer, John G. Riley, The Analysis of Uncertainly and Information

Inez Macho-stadler , David Perez-Castrillo J., An Introduction to the Economics of Information: Incentives and Contracts

Laffort Jean-Jacques, The Economics of Uncertainly and Information

Myerson: game theory: analysis of conflict (Advanced)

☆ A course in game theory, Martin . J. Osborne Alier·lubinsitan (an introduction to game theory), An Introduction to Game Theory by Martin j. Osborne Ariel Rubinstein

Richard Watt, An Introduction to the Economics of Information

Zhang weiying, game theory and information economics (Intermediate)

The theory of industrial organization / Industrial economics

Morris, sea: Business Economics and organization

Clarkson, Miller: the industrial organization: theory, evidence and public policy

☆ Ladder Jordan: of the theory of industrial organization The Theory of Industrial Organization , Jean Tirole (Classics of industrial organization theory, Department of Economics, for students, not suitable for schools, requires some basic algebra and game theory, first read Martin Advanced Industrial Organisation As the transition)

Incentive theory / The economics of information

Laffon, and laffontand martimort: the motivation theory (volume I): principal-agent model

Laffon, ladder Jordan: the theory of incentives in procurement and regulation of Government

Marco Ines macho-Stadler: an introduction to the economics of information: incentives and contracts

★ Joshi , The Concepts and Practice of Mathematical Finance

★ Joshi , C++ Design Patterns and Derivatives Pricing

London , Modeling Derivatives in C++

Meyer Books:

Effective C++

More Effective C++

Effective STL

Saul , Numerical Recipes in C++

Accounting

Basic accounting, financial accounting, cost accounting, management accounting, auditing, financial management, accounting, law and tax law

Anthony, accounting: text and cases 》

Hayes, the auditing: based on the perspective of the international auditing standards

Whittington, of the audit and other assurance services

Garrison, of the management accounting

Weygandt, of the financial accounting

Williams, the accounting: the basis for business decisions

Warren, of the accounting

Institutional economics

The system of Economics

Thrainn eggertsson: System of the economic behavior and

Feilvboteng: of the new institutional economics

★ Jean Tirole The theory of industrial organization

Of the modern institutional economics, Sheng Hong Editor

Evolutive economics

Gillis, Romer: the economics of development

Public economics / Public finance

Brown, Jackson: the economics of the public sector

☆ Harvey s. Rosen: of the finance

Joseph Stiglitz: the economics of the public sector

Other (language, computer, literature)

★ Douglas . R. Douglas r.Emery of the company’s financial management

S.CharlesMaurice,ChristopherR.Thomas,ManagerialEconomics, management in the boardroom

Michael R. Czinkota , Illkka A. Ronkainen And of the international business

Patrick A Garghan , Of the mergers, acquisitions and corporate restructuring Mergers , Acquisitions , and Corporate Restructurings

★ Philip Kotler Marketing Management

Technical analysis of stock trends (USA) Beverly Magee, (u) Basetti

Technical analysis of the futures market (U) Murphy

★ Robbins of the management

Technical analysis of futures trading (USA) Peter schwieger ( Schwager,J.D. )

(Not required)

Gann on Wall Street 45 Year (u) Gann

How to profit from the commodities futures trading (USA) Gann

Crowe talking about investment strategy–the magic of Murphy’s law (u) Crowe ( Krol,S. )

… …

Paul Wilmott Introduces Quantitative Finance, Paul Wilmott, Wiley, 2007

Paul Wilmott on Quantitative Finance, Paul Wilmott, Wiley, 2006

Frequently Asked Questions in Quantitative Finance, Paul Wilmott, Wiley, 2007

The Complete Guide to Option Pricing Formulas, Espen Gaardner Haug, McGraw-Hill, 1997

Derivatives: Models on Models, Espen Gaardner Haug, Wiley, 2007

Monte Carlo Methods in Finance, Peter Jackel, Wiley, 2002

Structured Credit Products: Credit Derivatives and Synthetic Securitisation, Moorad Choudhry, Wiley, 2004

Asset Price Dynamics, Volatility and Prediction, Stephen J. Taylor, Princeton University Press, 2007

A Practical Guide To Quantitative Finance Interviews Xinfeng Zhou.pdf

a primer for mathematics of financial engineering DAN STEFANICA.pdf

Active Portfolio Management-A Quantitative Approach for Providing Superior Returns and Controlling Risk Richard C. Grinold.pdf

Advanced modelling in finance using Excel and VBA mary jackson.pdf

Algorithms for Interviews Amit Prakash.pdf

An introduction to credit risk modeling christian bluhm.pdf

an introduction to econophysics : correlations and complexity in finance ROSARIO N. MANTEGNA.pdf

Backward Stochastic Differential Equations Nonlinear Expectations, Nonlinear Evaluations and Risk Measures Peng Shi GE .pdf

Bayesian Statistics and Marketing-outline Allenby, McCulloch and Rossi.pdf

black-scholes and beyond Chriss Neil.chm

building financial model JOHN S. TJIA.pdf

Collateralized Debt Obligations-structures and analysis LAURIE S. GOODMAN.pdf

Commodities and Commodity Derivatives-Modeling and Pricing for Agriculturals,Metals and Energy He′ lyette Geman.pdf

Credit Portfolio Management charles smithson.pdf

Derivatives and Internal Models H-P Deutsch.pdf

Dynamics Of Markets-Econophysics And Finance JOSEPH L. McCAULEY.pdf

Economic and Financial Decisions under Risk Louis Eeckhoudt.pdf

Efficient procedures for valuing European and American Path-dependent Options John Hull and Nan White.pdf

Energy and power risk management A Eydeland & K Wolyniec.pdf

energy derivatives.pdf

Financial Applications Using Excel Add-in Development in CC++ steve dalton.pdf

FINANCIAL DERIVATIVES PRICING, APPLICATIONS, AND MATHEMATICS J Baz & G Chacko.pdf

Financial Engineering with Finite Elements Jurgen Topper.pdf

Financial Engineering With Mathematica Zvi Wiener.pdf

financial engineering with stochastic calculus Jeremy Staum Cornell University .pdf

financial mathematics II min dai (Singapore) .pdf

Financial Modeling 3ed simon benninga.pdf

Financial Modeling Under Non-Gaussian Distributions Eric Jondeau, Ser-Huang Poon and Michael Rockinger.pdf

Financial Modelling wit Jump processes R Cont & P Tankov.pdf

Financial Numerical Recipes in C++ Bernt Arne Odegaard.pdf

Finite Difference Methods in Financial Engineering A Partial Differential Equation Approach Daniel J. Duffy.pdf

Forecasting Volatility in Financial Market J Knight & Satchell.pdf

Forward-Backward stochastic differential equations and their applocations Yong Jiong Ming .pdf

Frequently Asked Questions in Quantitative Finance solutions paul wilmott.pdf

Guide to Quant Careers2.0 Paul & Dominic.pdf

heard on the street quantitative questions from wall street job interviews timothy falcon crack.pdf

How I Became a quant-Insights From 25 ofWall Street’s Elite Richard R. Lindsey.pdf

How to Detect an Asset Bubble Robert A. Jarrow.pdf

how to lie with statistics Chinese DARRELL HUFF.pdf

Implementing Derivatives Models Errata les clewlow.pdf

Implementing Derivatives Models I ppt Andreas H. Burgmann.pdf

Implementing Derivatives Models II ppt Andreas H. Burgmann.pdf

Implementing Derivatives Models III ppt Andreas H. Burgmann.pdf

Implementing Derivatives Models les clewlow.pdf

Interest Rate Modeling. Volume 1 Foundations and Vanilla Models Nick Webber, Jessica James.djvu

Interest Rate Modeling. Volume 2 Term Structure Models Nick Webber, Jessica James.djvu

Interest Rate Modeling. Volume 3 Products and Risk Management Nick Webber, Jessica James.djvu

Interest Rate Modelling Simona Svoboda.chm

Interest Rate Models-Theory and Practice-With Smile, Inflation and Credit Damiano Brigo · Fabio Mercurio.pdf

interest-rate option models rebonato.djvu

Introduces Quantitative Finance Paul Wilmott.pdf

Introduction To Mathematical Finance-Discrete Time Models Stanley R. Pliska.pdf

Introduction to Stochastic Calculus for Finance-A New Didactic Approach Dieter Sondermann.pdf

Introduction to the Economics and Mathematics of Financial Markets Jakˇsa Cvitani′ , Fernando Zapatero.pdf

Introduction to the Mathematical and Statistical Foundations of Econometrics HERMAN J. BIERENS.pdf

Lecture Note-Stochastic Processes in fnance Lectures on stochastic processes in finance (Beijing University) Liu Jingjun.pdf

Levy Option Pricing Models Theory And Application Kazuhisa Matsuda.pdf

Levy Processes In Finance-Pricing Financial Derivatives Wim Schoutens.pdf

Market Models Carol Alexander.djvu

Market Risk Analysis vol1 Quantitative Methods in Finance Carol Alexander.pdf

Market Risk Analysis vol2 Practical Financial Econometrics Carol Alexander.pdf

Market Risk Analysis vol3 pricing, hedging and trading financial instruments carol alexander.pdf

Market Risk Analysis vol4 value-at-risk models Carol Alexander.pdf

Mathematical techniques in finance-tools in incomplete market Ales Cerny.pdf

modelling financial derivatives with mathematica william t shaw.pdf

Modern Portfolio Theory and Investment Analysis 6th E J Elton.pdf

Modern Portfolio Theory and Investment Analysis 6th Solutions E J Elton.pdf

monetary theory and the trade cycle friedrich a hayek.pdf

More Mathematical Finance Mark Joshi 2011.pdf

My Life as a Quant-Reflections on Physics and Finance Emanuel Derman.pdf

ON BECOMING A QUANT MARK JOSHI.pdf

Principles of Financial Engineering 2ed Salih N. Neftci.pdf

Quantitative Risk Management Concepts Alexander J. McNeil.pdf

Random Processes In Physics And Finance MELVIN LAX, WEI CAI, MIN XU.pdf

Real Options Analysis JOHNATHAN MUN.pdf

return Distributions in Finance S Satchell & J Knight.pdf

Risk and Asset Allocation attilio Meucci.pdf

Security Analysis 6ed BENJAMIN GRAHAM Securities analysis .pdf

Starting your career as a wall street quant Brett Jiu.pdf

Statistics and Data Analysis for Financial Engineering David Ruppert.pdf

Statistics and Finance-An Introduction David Ruppert.pdf

Statistics of financial markets Jürgen Franke · Wolfgang K. H?rdle Christian M. Hafner.pdf

Structured Credit Portfolio Analysis, Baskets & CDOs Christian Bluhm.pdf

Structured Finance Modeling with Object-Oriented VBA Evan Tick.chm

The Analysis of Structured Securities-Precise Risk Measurement and Capital Allocation SYLVAIN RAYNES.pdf

The Knockout Formula for Finding Great Investments PAT DORSEY.pdf

The Little Book That Beats the Market Joel Greenblatt.pdf

The Quants scott patterson.pdf

the winner’s circle r j shook.pdf

Tools for Computational Finance 3rd R Seydel.pdf

Value At Risk Philippe Jorion.pdf

vault guide to advanced finance and quantitative interviews.pdf

Hume’s economic papers .pdf

Wall Street Golden people ( New financial whiz ), Jack d. Schwager. PDF

Game theory and information economics Zhang weiying . PDF

Song FENGMING Financial engineering principles – non-arbitrage equilibrium analysis . PDF

Chinese version of the Handbook of hedge funds Stefano Lavinia.pdf

Mathematical analysis of micro-economic Hu Shi Geng . PDF

Input-output analysis Liu shipment . PDF

Mathematical finance Yong Jiong sensitivity . PDF

Option pricing derived handout .pdf

Mathematical models and methods in option pricing Jiang lishang . PDF

Probability, financial services and insurance (English-University of Hong Kong) .pdf

Mathematics and finance v1.0 Ding Jianhua Qinghuashuimu . PDF

Economic way of thinking Chinese version . PDF

Handbook of economic mathematics .pdf

Economic and mathematical methods and models angel de la fuente.pdf

Stock market wizards: interviews with Wall Street elite jack d schwager.pdf

Western economics Li Yiyuan . PDF

Econometrics — An introduction to Bayesian inference arnold zellner.pdf

Econometrics software Zheng Ting State University . PDF

Securities analysis 6ed Benjamin Graham . DjVu

Liar’s Poker Michael Lewis.pdf

Backward stochastic differential equation in finance Peng Shi GE English . PDF

Financial engineering Exam question and answer book interviews. PDF

Financial Engineering Forum File … PDF

Ten lectures on finance and Economics Shi Shuzhong . Text-only version .pdf

Financial economics robort litzenberger Song FENGMING translation .pdf

An introduction to financial economics Wang . PDF

Master vs Zheng Zhenlong, and Fang jianxing . PDF

Advanced Econometrics Yongmiao Hong notes . PDF

RiskMetrics Technical Document J.P.Morgan Reuters

Yang xiaokai

Monetary theory keynes

Introduction to financial mathematics Peking University courseware

Stochastic financial foundation Russia Shiryaev

10000 A scientific problem Mathematics test . PDF

A Course In Functional Analysis Conway.pdf

A Course In Probability Theory Zhong Kailai .pdf

A First course in abstract algebra 3ed JOSEPH J.ROTMAN.pdf

A First Course In Stochastic Processes A Second Course In Stochastic Processes samuel Karlin.pdf

A First Course on Time Series Analysis-Examples with SAS Chair of Statistics, University of W urzburg.pdf

A First Course on Wavelets E. Hernandez, G. Weiss.pdf

A Handbook of Statistical Analyses using SAS Geoff Der.pdf

A Handbook of Statistical Analyses Using SPSS Sabine Landau Brian S. Everitt.pdf

A Handbook of Statistical Analyses using Stata Sophia Rabe-Hesketh Brian Everitt.pdf

A Mathematical Introduction To Control Theory Engelberg.pdf

A wavelet tour of signal processing Stéphane Mallat.pdf

Absolute Beginner’s Guide to VBA Paul McFedries.chm

Absolute C++ walter savitch 2ed.pdf

Absolute C++ Chinese walter savitch 2ed.pdf

Advanced Calculus with Applications in Statistics Andre I. Khuri.pdf

Adventures of a Mathematician (1976) Stanislaw Ulam.djvu

algebraic graph theory NORMAN BIGGS.pdf

Algorithms, Data Structures, and Problem Solving with C++ Mark Allen Weiss.pdf

An Introduction To Banach Space Theory robert e Megginson.pdf

An Introduction To Measure And Probability j c Taylor.pdf

An Introduction to Multivariate Statistical Analysis 3ed T. W. ANDERSON.djvu

An Introduction To The Mathematical-Theory Of The Navier-Stokes Equations G.P. Galdi.pdf

Analysis And Control Of Nonlinear Infinite Dimensional Systems Viorel Barbu.pdf

Analysis On Fractals Kigami.pdf

Applied Bayesian Modeling peter congdon.pdf

Applied Factor Analysis in the Natural Sciences RICHARD A. REYMENT.pdf

Applied Multivariate Statistical Analysis 6ed richard a johnson.pdf

Applied Time Series-Modelling and Forecasting Richard Harris.pdf

Basic Markov Chains And Martingales Byron Schmuland Schmuland.pdf

Bayes and Empirical Bayes Methods for Data Analysis Bradley P. Carlin.pdf

bayesian data analysis Andrew Gelman, John B. Carlin.djvu

Bioinformatics-Managing Scientific Data Zoé Lacroix and Terence Critchlow.pdf

bioinformatics-the machine learning approach Bioinformatics – Machine learning methods pierre Baldi.pdf

Bootstrap Method A guid for practioners and reseachers MICHAEL R. CHERNICK.pdf

C++ Primer[ Chinese non-scan version ]Stanley b Lippman. PDF

C++ Getting started with classic ( 3 ) Ivor Horton. PDF

C++ Programming _ Tan haoqiang · Tsinghua University .pdf

Convergence Of Probability Measures Billingsley.pdf

C Programming languages ( 2 · New version) Dennis M Ritchie.pdf

Data Abstraction and Problem Solving with C++ 3Ed frank m carrano.pdf

Data Analysis Using Regression and Multilevel 、 Hierarchical Models ANDREW GELMAN.pdf

Data Structures and Algorithms Alfred. Aho.pdf

Design and Modeling for Computer Experiments Kai-Tai Fang Runze Li.pdf

Ergodicity And Stability Of Stochastic Processes a a Borovkov.pdf

Excel 2007 Formulas John Walkenbach.chm

Excel 2007 VBA Programmer Reference john green stephen bullen rob bovey.pdf

Excel 2010 Formulas John Walkenbach.pdf

Excel 2010 Power Programming with VBA John Walkenbach.pdf

excel hacks david raina hawley.pdf

Excel2003 Application tips . CHM

fifty challenging problems in probability with solutions frederick mosteller.pdf

Functional Analysis Lax.pdf

Functional Analysis Rudin.pdf

Functional Analysis Spectral Theory v.s. Sunder.pdf

Functional Ito calculus and stochastic integral representation of martingales Rama Cont Functional Ito Calculus and martingales stochastic integral representation (English version) .pdf

Geometric Probability Herbert Solomon.pdf

gnu autoconf David MacKenzie.pdf

Graphical models Probability graphic .pdf

GTM001 Introduction to Axiomatic set theory G. Takeuti w M Zaring.djvu

GTM002 Measure and Category-A Survey of the Analogies between Topological and Measure Spaces . John c Oxtoby measure and category: a summary of the report on the topological space and measure space is similar . DjVu

GTM004 A Course in Homological Algebra P.J. Hilton U.Stammbach.djvu

GTM005 Categories for the Working Math Saunders Mac Lane .djvu

GTM016 The Structure of Fields David Winter .djvu

GTM016 The Structure of Fields David Winter.djvu

GTM018 Measure Theory Paul R. Halmos .djvu

GTM027 General topology John L. Kelley .djvu

Handbook of computational statistics-Concepts and methods J.E.Gentle.pdf

Handbook Of Measure Theory Pap.pdf

Handbook Of Stochastic Methods c w Gardiner.pdf

Intro to Data Management and Programming in SAS Harvard School of Public Health.pdf

Introduction to Cybernetics W. ROSS ASHBY.pdf

Introduction To Functional Analysis Taylor.pdf

Introduction To Martingale Methods In Option Pricing Home Martingale used in option pricing . PDF

Introduction to Nonparametric Regression Kunio Takezawa.djvu

Introduction To Stochastic Analysis Z. Qian and J. G. Ying.pdf

Introduction to Stochastic Integration Hui-Hsiung Kuo.pdf

Large deviations and stochastic calculus Large deviations and stochastic analysis of large random matrices Alice Gnionnet.pdf

Large Random Matrices Lectures On Macroscopic Asymptotics Guionnet.pdf

Latex A Document Preparation System Lamport.pdf

latex in 90 mins Tobias Oetiker.pdf

Latex Notes Alpha Huang.pdf

Latex2e Technology publishing Guide Deng Jiansong . PDF

Latex Get started and improve Chan Chi Kit . PDF

Lectures on Stochastic Analysis Lectures on stochastic analysis University of Wisconsin, Thomas g. Kurtz. PDF

letex Layout tips Li Dongfeng . PDF

Levy Processes And Infinitely Divisible Distributions ken iti Sato.pdf

Lie Theory And Special Functions willard Miller.pdf

Limit Theorems Of Probability Theory Petrov.pdf

Lindo User manual .pdf

LINDO Package introduction .pdf

linear Regression Analysis george a e seber alan a lee.pdf

LINGO Quick start .pdf

Local Polynomial Modelling and Its Applications j fan.pdf

Long-Memory Time Series-Theory And Methods Wilfred0 Palma.pdf

Markov Processes Feller Semigroups And Evolution Equations Jan A van Casteren.pdf

martingale limit theory and its applications hall.pdf

Mathematical Principles Of Natural Philosophy Newton.pdf

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mathematical statistics keith knight.pdf

Mathematical Statistics with Applications Kandethody M.Ramachandran.pdf

Mathematical Statistics-Basic Ideas and Selected Topics bickel & Dokosum.djvu

Measure Theory j l Doob.pdf

Microeconomic Theory A Mathematical Approach james e henderson.pdf

Microsoft Office Excel 2007 Visual Basic for Applications Step by Step Reed Jacobson.chm

model-oriented data analysis V. Fedorov H. Lauter.pdf

Monte Carlo Strategies in Scientific Computing jun s liu harvard.pdf

Monte Carlo Strategies in Scientific Computing jun s liu.pdf

More Math Into Latex 7ed George Gratzer.pdf

MS OFFICE Complete the formula little key.pdf

Multirate and wavelet signal processing Bruce W. Suter.pdf

Multiscale Wavelet Methods for Partial Differential Equations Wolfgang Dahmen, Andrew J. Kurdila and Peter Oswald.pdf

Neural networks and pattern recognition Omid Omidvar and Judith Dayhoff.pdf

nonparamatrics economitrics Adrian Pagan, Aman Ullah.pdf

Nonparametric and Semiparametric Models-An Introduction Wolfgang H¨ardle, Marlene M¨ uller, Stefan.pdf

Nonparametric Functional Data Analysis Theory and Practice Frédéric Ferraty Philippe Vieu.pdf

Numerical Solution Of Stochastic Differential Equations P E Kloeden & E Platen.pdf

Numerical Solution Of Stochastic Differential Equations With Jumps In Finance Eckhard Platen.pdf

open source development with cvs Moshe Bar Karl Fogel 3ed.pdf

Partial Identification Of Probability Distributions Charles F. Manski.pdf

Practical Time-Frequency Analysis-Gabor and Wavelet Transforms with an Implementation in S Ren& Ingrid Daubechies.pdf

Probabilities And Potential CLAUDE DELLACHERIE.pdf

Probability And Information a m Yaglom.pdf

Probability Inequalities Probability inequalities Zhengyan Lin Zhidong Bai.pdf

Probability Theory The Logic of Science E. T. Jaynes Meditations of probability theory .pdf

Probability Via Expectation peter Whittle.pdf

Problems In Probability t m Mills.pdf

Pseudo Differential Operators Generating Markov Processes Walter.pdf

Python Language Primer mark lutz,david ascber.pdf

Random Matrices Mehta.pdf

Random Number Generation and Monte Carlo Methods James E. Gentle.pdf

Real Analysis with an Introduction to Wavelets and Applications Don Hong, Jianzhong Wang and Robert Gardner.pdf

S Programming w n Venables b d Ripley.djvu

SAS Programming and financial data processing Zhu Shiwu . PDF

Some Random Series Of Functions Kahane.pdf

splus intro longhow lam.pdf

splus Ustc Meng Qiang . PDF

Statistical Learning Theory vladinmir n Vapnik.pdf

Statistical Mechanics And Random Matrices Guionnet.pdf

Statistical Methods for Reliability Data WILLIAM Q. MEEKER.djvu

statistics and truth C. Radhakrishna Rao.pdf

Statistics For Long-memory Processes jan Beran.pdf

Stochastic Differential Equations Zenghu Li.pdf

Stochastic Differential Equations Zhongmin QIAN.pdf

Stochastic Finance An Introduction In Discrete Time Follmer.pdf

Stochastic Finance An Introduction In Discrete Time Hans F?llmer Alexander Schied.pdf

Stochastic Integration and Stochastic Differential Oleg Makhnin.pdf

stochastic processes amir dembo.pdf

Sums Of Independent Random Variables v v Petrov.pdf

survival analysis-Techniques for Censored and Truncated Data John P. Klein.pdf

Tex Amstex Latex Introduction to working with Li Yong . PDF

The C++ Programming Language Bjarne Stroustrup.pdf

The Capital Asset Pricing Model-Theory and Evidence Eugene F. Fama and Kenneth R. French.pdf

The Comprehensive LATEX Symbol List letex Encyclopedia of symbols Scott Pakin.pdf

The Elements of Statistical Learning Data Mining, Inference, and Prediction Trevor Hastie Robert Tibshirani.pdf

The Elements of Statistical Learning-Data Mining, Inference and Prediction Jerome Friedman Trevor Hastie Robert Tibshirani.djvu

the finite element method-A Practical Course G. R. Liu.pdf

The Inverse Function Theorem Of Nash And Moser RICHARD S. HAMILTON.pdf

The Latex Graphics Companion Goossens.pdf

The Little SAS Book 3ed lora d delwiche.pdf

The Little SAS Book 4ed lora d delwiche.pdf

The Not So Short Introduction To Latex Tobias Oetiker.pdf

The TeXBook knuth Chinese .pdf

the texbook knuth.pdf

Thinking in C++ Bruce Eckel 2ed.pdf

Thinking in C++ Bruce Eckel Chinese . PDF

Thinking in C++ Bruce Eckel.pdf

Thinking In Java 4ed Bruce Eckel.pdf

Time Series Analysis-univariate and multivariate methods william w s wei.pdf

Time-Frequency Time-Scale Analysis yves meyer.pdf

Tools for Statistical Inference martin a tanner.pdf

Topological Function Spaces a v Arkhangelskii.pdf

UML Distilled-a brief guide to the standard object modeling language martin flower 2ed.pdf

Encyclopedia of China Math . PDF

Critical point theory and its applications Zhang Gongqing . PDF

Algebraic eigenvalue problem J.H. Wilkinson .pdf

Leave random service system Tian Naishuo . PDF

Backward stochastic differential equations and its application Peng Shi GE . PDF

Elementary lectures on stochastic processes Ying Jiangang . PDF

With dynamic programming method Hamilton-Jacobi-Bellman Equation Yong Jiong sensitivity . PDF

Millennium Challenge seven reward 1000000 $ Math problems Devlin.pdf

Calculus lecture notes Zhang Gongqing . PDF

Multivariate statistical analysis Sun wenshuang . PDF

Symmetric bifurcation theory Tang Yun . PDF

Common inequalities Kuang Jichang . PDF

Theory of generalized functions Liu Haoyue . PDF

Application of time series analysis laboratory manual EVIEWS.doc

Application of stochastic processes Lin yuanlie Tsinghua . PDF

Application of stochastic processes Lin yuanlie . PDF

An introduction to stochastic processes Hu DIHE . PDF

Strong limit theorems Lin zhengyan . PDF

Mathematics and guess Polya.pdf

Typical problems and methods in mathematical analysis Pei Liwen . PDF

Mathematics Handbook .pdf

Mathematical model Jiang qiyuan . PDF

Mathematical model and lingo_lindo Software Qing Hua Xie Jinxing . PDF

Mathematical model method Qi Huan . PDF

New methods in data mining – Support vector machine Deng Naiyang Tian Yingjie . PDF

Mathematical statistics Wang Rongxin . PDF

Application of number theoretic method in statistics Kaitai . PDF

Time series analysis Xie zhongjie . PDF

Time series analysis Wei Wuwei NPC handout . PDF

Time series analysis – Higher-order statistics method – Zhang Xian .pdf

Time series analysis and dynamic data modeling Dr Khin . PDF

An introduction to time series analysis Chris Chatfield.pdf

Time series analysis and its application An Hongzhi . PDF

Theory of optimal stopping Zhou Yuan燊 . PDF

Principles and methods of optimization Xue Yi 2001. PDF

Probability limit theory Lin zhengyan . PDF

Lectures on functional analysis Guan Zhao Zhi . PDF

Mixing dependent variables limit theory Lu, Chuan-Rong . PDF

Special matrices Chen jingliang . PDF

Matrix analysis Yang Keshao . PDF

Matrix analysis Wang Chao-Rui . PDF

Matrix theory and its applications Jiang Zhengxin . PDF

Inequality in matrix theory Wang song GUI Jia loyalty . PDF

Operator function Li Guoping . PDF

Statistics Jia junping (Tsinghua 04 Edition). PDF

Statistical notes People’s Congress, Jia junping . PDF

English mathematics Mathematics between Chinese and English vocabulary Qi Yuxia . PDF

Modern introduction to probability – Measure Martingales and stochastic differential equations Yuan Zhendong . PDF

Lectures on stochastic analysis Kyprianou.pdf

Stochastic control Guo Shanglai . PDF

Random walks with martingale Ying Jiangang . PDF

Stochastic process Kiyoshi Itō . PDF

Stochastic process Dawn science . PDF

Stochastic processes based Ying Jiangang . PDF

Theory of random processes Shiliyayefu . PDF

Theory of random processes — Foundation, theory and applications Hu DIHE . PDF

Non-parametric statistics notes Sun Shanze . PDF

Nonlinear time series analysis An Hongzhi . PDF

An introduction to martingales and stochastic integrals Strict . PDF

Martingale analysis and its application Hu Bijin . PDF

Advanced algebra High-dimensional solutions . PDF

Advanced mathematical statistics Mao poem song . PDF

Advanced probability theory and its applications Hu DIHE . PDF

Flash Boys: A Wall Street Revolt – Michael Lewis

The Big Short: Inside the Doomsday Machine – Michael Lewis

Liar’s Poker – Michael Lewis

When Genius Failed: The Rise and Fall of Long-Term Capital Management – Roger Lowenstein

More Money Than God: Hedge Funds and the Making of a New Elite – Sebastian Mallaby

How I Became a Quant: Insights from 25 of Wall Street’s Elite – Richard Lindsey, Barry Schachter

My Life as a Quant: Reflections on Physics and Finance – Emanuel Derman

Financial Engineering: The Evolution of a Profession – Tanya Beder, Cara Marshall

The Quants: How a New Breed of Math Whizzes Conquered Wall Street and Nearly Destroyed It – Scott Patterson

Nerds on Wall Street: Math, Machines and Wired Markets – David Leinweber

Physicists on Wall Street and Other Essays on Science and Society – Jeremey Bernstein

The Complete Guide to Capital Markets for Quantitative Professionals (McGraw-Hill Library of Investment and Finance) – Alex Kuznetsov

Models.Behaving.Badly.: Why Confusing Illusion with Reality Can Lead to Disaster, on Wall Street and in Life – Emanuel Derman

Heard on The Street: Quantitative Questions from Wall Street Job Interviews – Timothy Crack

Frequently Asked Questions in Quantitative Finance – Paul Wilmott

Quant Job Interview Questions And Answers – Mark Joshi, Nick Denson, Andrew Downes

A Practical Guide To Quantitative Finance Interviews – Xinfeng Zhou

Starting Your Career as a Wall Street Quant: A Practical, No-BS Guide to Getting a Job in Quantitative Finance – Brett Jiu

Cracking the Coding Interview: 150 Programming Questions and Solutions – Gayle McDowell

Successful Algorithmic Trading – Michael Halls-Moore (my first trading book)

Advanced Algorithmic Trading – Michael Halls-Moore (my second trading book)

Quantitative Trading: How to Build Your Own Algorithmic Trading Business – Ernie Chan

Algorithmic Trading: Winning Strategies and Their Rationale – Ernie Chan

Inside the Black Box: A Simple Guide to Quantitative and High Frequency Trading – Rishi Narang

The Truth About High-Frequency Trading: What Is It, How Does It Work, and Is It a Problem? – Rishi Narang, Manoj Narang

Algorithmic and High-Frequency Trading – Álvaro Cartea, Sebastian Jaimungal, José Penalva

The Science of Algorithmic Trading and Portfolio Management – Robert Kissell

Algorithmic Trading and DMA: An introduction to direct access trading strategies – Barry Johnson

Volatility Trading – Euan Sinclair

Trading and Exchanges: Market Microstructure for Practitioners – Larry Harris

Schaum’s Outline of Statistics and Econometrics – Dominick Salvatore, Derrick Reagle

Introductory Econometrics for Finance – Chris Brooks

Introduction to Time Series and Forecasting -Peter Brockwell, Richard Davis

Time Series: Theory and Methods – Peter Brockwell, Richard Davis

Analysis of Financial Time Series – Ruey Tsay

Multivariate Time Series Analysis: With R and Financial Applications – Ruey Tsay

Time Series Analysis – James Douglas Hamilton

Options, Futures, and Other Derivatives – John Hull

A Primer For The Mathematics Of Financial Engineering – Dan Stefanica

Solutions Manual – A Primer For The Mathematics Of Financial Engineering – Dan Stefanica

Paul Wilmott Introduces Quantitative Finance – Paul Wilmott

Paul Wilmott on Quantitative Finance – Paul Wilmott

The Concepts and Practice of Mathematical Finance – Mark Joshi

More Mathematical Finance – Mark Joshi

Financial Calculus: An Introduction to Derivative Pricing – Martin Baxter, Andrew Rennie

An Introduction to the Mathematics of Financial Derivatives – Ali Hirsa, Salih Neftci

Principles of Financial Engineering – Robert Kosowski, Salih Neftci

Mathematics for Finance: An Introduction to Financial Engineering – Marek Capiski, Tomasz Zastawniak

Arbitrage Theory in Continuous Time – Tomas Bjork

The Complete Guide to Option Pricing Formulas – Espen Haug

Interest Rate Models – Theory and Practice: With Smile, Inflation and Credit – Damiano Brigo, Fabio Mercurio

Interest Rate Modeling – Vol I: Foundations and Vanilla Models – Leif Andersen, Vladimir Piterbarg

Interest Rate Modeling – Vol II: Term Structure Models – Leif Andersen, Vladimir Piterbarg

Interest Rate Modeling – Vol III: Products and Risk Management – Leif Andersen, Vladimir Piterbarg

The SABR/LIBOR Market Model: Pricing, Calibration and Hedging for Complex Interest-Rate Derivatives – Riccardo Rebonato, Kenneth McKay, Richard White

Discounting, Libor, CVA and Funding: Interest Rate and Credit Pricing – Chris Kenyon, Roland Stamm

Interest Rate Swaps and Their Derivatives: A Practitioner’s Guide – Amir Sadr

Term-Structure Models: A Graduate Course – Damir Filipovic

C++ for Quantitative Finance – Michael Halls-Moore (my C++ book on derivatives pricing)

Sams Teach Yourself C++ in One Hour a Day – Siddhartha Rao (7th edition, covering C++11)

C++: A Beginner’s Guide – Herbert Schildt

Accelerated C++: Practical Programming by Example – Andrew Koenig, Barbara Moo

Effective C++: 55 Specific Ways to Improve Your Programs and Designs – Scott Meyers

C++ Design Patterns and Derivatives Pricing – Mark Joshi

More Effective C++: 35 New Ways to Improve Your Programs and Designs – Scott Meyers

Effective STL: 50 Specific Ways to Improve Your Use of the Standard Template Library – Scott Meyers

Effective Modern C++: 42 Specific Ways to Improve Your Use of C++11 and C++14 – Scott Meyers

Discovering Modern C++: An Intensive Course for Scientists, Engineers, and Programmers – Peter Gottschling

The C++ Standard Library: A Tutorial and Reference – Nicholai Josuttis

The C++ Programming Language, 4th Edition – Bjarne Stroustrup

C++ Concurrency in Action: Practical Multithreading – Anthony Williams

Optimized C++ – Kurt Guntheroth

C++ Templates: The Complete Guide – David Vandevoorde, Nicolai Josuttis

The Linux Programming Interface: A Linux and UNIX System Programming Handbook – Michael Kerrisk

Advanced Programming in the UNIX Environment, 3rd Edition – W. Richard Stevens, Stephen A. Rago

Unix Network Programming, Volume 1: The Sockets Networking API (3rd Edition) – W. Richard Stevens, Bill Fenner, Andrew M. Rudoff

Design Patterns: Elements of Reusable Object-Oriented Software – Erich Gamma, Richard Helm, Ralph Johnson, John Vlissides

Learning Python, 5th Edition – Mark Lutz

Think Python, 2nd Edition – Allen Downey

Learn Python the Hard Way, 3rd Edition – Zed Shaw

Programming Python, 4th Edition – Mark Lutz

Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython – Wes McKinney

Data Science from Scratch: First Principles with Python – Joel Grus

Data Wrangling with Python: Tips and Tools to Make Your Life Easier – Jacqueline Kazil, Katharine Jarmul

Python for Finance: Analyze Big Financial Data – by Yves Hilpisch

Effective Python: 59 Specific Ways to Write Better Python – Brett Slatkin

High Performance Python: Practical Performant Programming for Humans – Micha Gorelick, Ian Ozsvald

Python 3 Object-Oriented Programming, 2nd Edition – Dusty Phillips

Python Machine Learning – Sebastian Raschka

Introductory Statistics with R, 2nd Edition – Peter Dalgaard

A Beginner’s Guide to R – Alain Zuur, Elena Ieno, Erik Meesters

R in a Nutshell – Joseph Adler

Introductory Time Series with R – Paul Cowpertwait, Andrew Metcalfe

An Introduction to Applied Multivariate Analysis with R – Brian Everitt, Torsten Hothorn

R Cookbook – Paul Teetor

Machine Learning with R, 2nd Edition – Brett Lantz

Click Below To Learn More About…

Algo trading. Quant careers. Machine learning.

What do quant do ? A guide by Mark Joshi.

Paul & Dominic ‘ s Guide to Quant Careers ( details see annex)

Career in Financial Markets 2011- a guide by efinancialcareers. http://static.efinancialcareers.com/assets/pdf/cifm/CIFM_US.pdf

Interview Preparation Guide by Michael Page: Quantitative Analysis. http://www.math.utah.edu/ugrad/finance/interviewprep1.pdf

Interview Preparation Guide by Michael Page: Quantitative Structuring. http://www.math.utah.edu/ugrad/finance/interviewprep2.pdf

Paul & Dominic ‘ s Job Hunting in Interesting Times Second Edition ( details see annex)

Peter Carr ‘ s a Practitioner ‘ s Guide to Mathematical Finance ( details see annex)

Max Dama ‘ s Guide to Automated Trading ( details see annex)

Basic Black-Scholes: Option Pricing and Trading by Timothy Crack

Elementary Stochastic Calculus With Finance in View by Thomas Mikosch

Financial Options: From Theory to Practice by Stephen Figlewski

Derivatives Markets by Robert L. McDonald

An Undergraduate Introduction to Financial Mathematics by Robert Buchanan

Monkey Business: Swinging Through the Wall Street Jungle

Reminiscences of a Stock Operator

Working the Street: What You Need to Know About Life on Wall Street

Fiasco: The Inside Story of a Wall Street Trader

Den of Thieves

Traders, Guns & Money: Knowns and unknowns in the dazzling world of derivatives

The Greatest Trade Ever: The Behind-the-Scenes Story of How John Paulson Defied Wall Street and Made Financial History

Goldman Sachs : The Culture of Success

The House of Morgan: An American Banking Dynasty and the Rise of Modern Finance

Wall Street: A History: From Its Beginnings to the Fall of Enron

The Murder of Lehman Brothers: An Insider’s Look at the Global Meltdown

On the Brink: Inside the Race to Stop the Collapse of the Global Financial System

House of Cards: A Tale of Hubris and Wretched Excess on Wall Street

Too Big to Fail: The Inside Story of How Wall Street and Washington Fought to Save the Financial System-and Themselves

Liquidated: An Ethnography of Wall Street

Fortune’s Formula: The Untold Story of the Scientific Betting System That Beat the Casinos and Wall Street

Problem Solving with C++ (8th Edition) by Walter Savitch

C++ How to Program (8th Edition) by Harvey Deitel

Absolute C++ (5th Edition) by Walter Savitch

Thinking in C++: Introduction to Standard C++, Volume One by Bruce Eckel

Thinking in C++: Practical Programming, Volume Two by Bruce Eckel

The C++ Programming Language: Special Edition by Bjarne Stroustrup (C++ inventor)

Effective C++: 55 Specific Ways to Improve Your Programs and Designs by Scot Myers

C++ Primer (4th Edition) by Stanley Lippman

C++ Design Patterns and Derivatives Pricing (2nd edition) by Mark Joshi

Financial Instrument Pricing Using C++ by Daniel Duffy

C# 2010 for Programmers (4th Edition)

Computational Finance Using C and C# by George Levy

C# in Depth, Second Edition by Jon Skeet

Programming F#: An introduction to functional language by Chris Smith

F# for Scientists by Jon Harrops (Microsoft Researcher)

Real World Functional Programming: With Examples in F# and C#

Expert F# 2.0 by Don Syme

Beginning F# by Robert Pickering

Matlab: A Practical Introduction to Programming and Problem Solving

Numerical Methods in Finance and Economics: A MATLAB-Based Introduction (Statistics in Practice)

Excel 2007 Power Programming with VBA by John Walkenbach

Excel 2007 VBA Programmer’s Reference

Financial Modeling by Simon Benninga

Excel Hacks: Tips & Tools for Streamlining Your Spreadsheets

Excel 2007 Formulas by John Walkenbach

Advanced modelling in finance using Excel and VBA by Mike Staunton

Implementing Models of Financial Derivatives: Object Oriented Applications with VBA

Learning Python: Powerful Object-Oriented Programming

Python Cookbook

FINITE DIFFERENCES

Option Pricing: Mathematical Models and Computation, by P. Wilmott, J.N. Dewynne, S.D. Howison

Pricing Financial Instruments: The Finite Difference Method, by Domingo Tavella, Curt Randall

Finite Difference Methods in Financial Engineering: A Partial Differential Equation Approach by Daniel Duffy

MONTE CARLO

Monte Carlo Methods in Finance, by Peter Jäcke (errata available at jaeckel.org)

Monte Carlo Methodologies and Applications for Pricing and Risk Management , by Bruno Dupire (Editor)

Monte Carlo Methods in Financial Engineering, by Paul Glasserman

Monte Carlo Frameworks in C++: Building Customisable and High-performance Applications by Daniel J. Duffy and Joerg Kienitz

STOCHASTIC CALCULUS

Stochastic Calculus and Finance by Steven Shreve (errata attached)

Stochastic Differential Equations: An Introduction with Applications by Bernt Oksendal

VOLATILITY

Volatility and Correlation, by Riccardo Rebonato

Volatility, by Robert Jarrow (Editor)

Volatility Trading by Euan Sinclair

INTEREST RATE

Interest Rate Models – Theory and Practice, by D. Brigo, F. Mercurio updates available on-line Professional Area of Damiano Brigo’s web site

Modern Pricing of Interest Rate Derivatives, by Riccardo Rebonato

Interest-Rate Option Models, by Riccardo Rebonato

Efficient Methods for Valuing Interest Rate Derivatives, by Antoon Pelsser

Interest Rate Modelling, by Nick Webber, Jessica James

FX

Foreign Exchange Risk, by Jurgen Hakala, Uwe Wystup

Mathematical Methods For Foreign Exchange, by Alexander Lipton

STRUCTURED FINANCE

The Analysis of Structured Securities: Precise Risk Measurement and Capital Allocation (Hardcover) by Sylvain Raynes and Ann Rutledge

Salomon Smith Barney Guide to MBS & ABS, Lakhbir Hayre, Editor

Securitization Markets Handbook, Structures and Dynamics of Mortgage- and Asset-backed securities by Stone & Zissu

Securitization, by Vinod Kothari

Modeling Structured Finance Cash Flows with Microsoft Excel: A Step-by-Step Guide (good for understanding the basics)

Structured Finance Modeling with Object-Oriented VBA (a bit more detailed and advanced than the step by step book)

STRUCTURED CREDIT

Collateralized Debt Obligations, by Arturo Cifuentes

An Introduction to Credit Risk Modeling by Bluhm, Overbeck and Wagner (really good read, especially on how to model correlated default events & times)

Credit Derivatives Pricing Models: Model, Pricing and Implementation by Philipp J. Schönbucher

Credit Derivatives: A Guide to Instruments and Applications by Janet M. Tavakoli

Structured Credit Portfolio Analysis, Baskets and CDOs by Christian Bluhm and Ludger Overbeck

RISK MANAGEMENT/VAR

VAR Understanding and Applying Value at Risk, by various authors

Value at Risk, by Philippe Jorion

RiskMetrics Technical Document RiskMetrics Group

Risk and Asset Allocation by Attilio Meucci

SAS/S/S-PLUS

The Little SAS Book: A Primer, Fourth Edition by Lora D. Delwiche and Susan J. Slaughter

Modeling Financial Time Series with S-PLUS

Statistical Analysis of Financial Data in S-PLUS

Modern Applied Statistics with S

HANDS ON

Implementing Derivative Models, by Les Clewlow, Chris Strickland

The Complete Guide to Option Pricing Formulas, by Espen Gaarder Haug

NOT ENOUGH YET?

Energy Derivatives: Pricing and Risk Management, by Les Clewlow, Chris Strickland

Hull-White on Derivatives, by John Hull, Alan White 1899332456

Exotic Options: The State of the Art, by Les Clewlow (Editor), Chris Strickland (Editor)

Market Models, by C.O. Alexander

Pricing, Hedging, and Trading Exotic Options, by Israel Nelken

Modelling Fixed Income Securities and Interest Rate Options, by Robert A. Jarrow

Black-Scholes and Beyond, by Neil A. Chriss

Risk Management and Analysis: Measuring and Modelling Financial Risk, by Carol Alexander

Mastering Risk: Volume 2 – Applications: Your Single-Source Guide to Becoming a Master of Risk, by Carol Alexander

Mathematical Modeling

Modeling

Ordinary differential equations and dynamical systems

ODE and dynamical systems, critical points, phase space & stability analysis; Hamiltonian dynamical systems; ODE system with gradient structure, conservative ODE’s. 

Partial differential equations and applications

Basic theory for elliptic, parabolic, and hyperbolic PDEs; calculus of variations: Euler-Lagrange equations; shock waves and rarefaction waves in scale conservation laws; method of characterization, weak formulation, energy estimates, maximum principle; Hamilton-Jacobi equations, Lax-Milgram, Fredholm operator.

Mathematical modeling, simulation, and applied analysis

Scaling behavior and asymptotics analysis, stationary phase analysis, boundary layer analysis,

qualitative and quantitative analysis of mathematical models,  Monte-Carlo method.

Linear and nonlinear programming

Simplex method, interior method, penalty method, Newton’s method, homotopy method and fixed point method, dynamic programming.

References:

  1. W. D. Boyce and R. C. DiPrima, Elementary Differential Equations, Wiley, 2009.
  2. V. I. Arnold, Mathematical Methods of Classical Mechanics, Springer.
  3. F.Y.M. Wan, Introduction to Calculus of Variations and Its Applications, Chapman & Hall, 1995
  4. J. Keener, “Principles of Applied Mathematics”, Addison-Wesley, 1988.
  5. C. M. Bender and S. A. Orszag, Advanced Mathematical Methods for Scientists and Engineers, 1999.
  6. A. J. Chorin and J. E. Marsden, A Mathematical Introduction to Fluid Mechanics, 2000.

《数学建模》Frank R.Giordano,Willam P.Fox,Steven B.Horton,叶其孝等译

原名《A First Course in Mathematical Modeling》,是很好的书。

230《数学建模与数学实验.第3版》赵静, 但琦主编

231《数学建模及其基础知识详解》王文波编著

232《数学建模方法及其应用》韩中庚编著

233《数学建模》Maurice D. Weir, (美) William P. Fox著

Modeling

Ordinary differential equations and dynamical systems

ODE and dynamical systems, critical points, phase space & stability analysis; Hamiltonian dynamical systems; ODE system with gradient structure, conservative ODE’s.

Partial differential equations and applications

Basic theory for elliptic, parabolic, and hyperbolic PDEs; calculus of variations: Euler-Lagrange equations; shock waves and rarefaction waves in scale conservation laws; method of characterization, weak formulation, energy estimates, maximum principle; Hamilton-Jacobi equations, Lax-Milgram, Fredholm operator.

Mathematical modeling, simulation, and applied analysis

Scaling behavior and asymptotics analysis, stationary phase analysis, boundary layer analysis,

qualitative and quantitative analysis of mathematical models, Monte-Carlo method.

Linear and nonlinear programming

Simplex method, interior method, penalty method, Newton’s method, homotopy method and fixed point method, dynamic programming.

References:

1. W. D. Boyce and R. C. DiPrima, Elementary Differential Equations, Wiley, 2009.

2. V. I. Arnold, Mathematical Methods of Classical Mechanics, Springer.

3. F.Y.M. Wan, Introduction to Calculus of Variations and Its Applications , Chapman & Hall, 1995

4. J. Keener, “Principles of Applied Mathematics“, Addison-Wesley, 1988.

5. C. M. Bender and S. A. Orszag, Advanced Mathematical Methods for Scientists and Engineers, 1999.

6. A. J. Chorin and J. E. Marsden, A Mathematical Introduction to Fluid Mechanics, 2000.

Of the mathematical modeling Frank R.Giordano , Willam P.Fox , Steven B.Horton And ye qixiao, translated

Formerly known as the A First Course in Mathematical Modeling , Is a very good book.

230 The mathematical modeling and experiment . 3 Zhao Jing , But Chi editor

231 The mathematical modeling and detailed explanation of the basics of written by Wang wenbo

232 The mathematical modeling method and its application in Korean g-authoring

233 Of the mathematical modeling Maurice d. Weir, ( United States ) William p. Fox The


Probability and Statistics

Probability and Statistical Reference

Syllabus on Probability Theory

Random variable, Expectation, Independence

Variance and covariance, correlation, moment

Various distribution functions

Multivariate distribution 

Characteristic function, Generating function

Various modes of convergence of random variables

Law of large numbers 

Random series

Central limit theorem 

Bayes formula, Conditional probability

Conditional expectation given a sigma-field

Markov chains

References:

  1. Rick Durrett, Probability: Theory and Examples, Cambridge University Press, 2010
  2. Kai-Lai Chung ,  A Course in Probability Theory, New York, 1968, 有中译本(钟开莱:概率论教程, 机械工业出版社, 2010)

Syllabus on Statistics

Distribution Theory and Basic Statistics

Families of continuous distributions: normal, chi-sq, t, F, gamma, beta; Families of discrete distributions: multinomial, Poisson, negative binomial; Basic statistics: sample mean, variance, median and quantiles. 

Testing

Neyman-Pearson paradigm, null and alternative hypotheses, simple and composite hypotheses, type I and type II errors, power, most powerful test, likelihood ratio test, Neyman-Pearson Theorem, generalized likelihood ratio test.

Estimation

Parameter estimation, method of moments, maximum likelihood estimation, criteria for evaluation of estimators, Fisher information and its use, confidence interval.

Bayesian Statistics

Prior, posterior, conjugate priors, Bayesian estimator.

Large sample properties

Consistency, asymptotic normality, chi-sq approximation to likelihood ratio statistic.

References:

  1. Casella, G. and Berger, R.L. (2002).  Statistical Inference (2nd Ed.) Duxbury Press.
  2. 茆诗松,程依明,濮晓龙,概率论与数理统计教程(第二版),高等教育出版社,2008.
  3. 陈家鼎,孙山泽,李东风,刘力平,数理统计学讲义,高等教育出版社,2006.
  4. 郑明,陈子毅,汪嘉冈,数理统计讲义,复旦大学出版社,2006.
  5. 陈希孺,倪国熙,数理统计学教程,中国科学技术大学出版社,2009.

Sheldon M. Ross, Introduction to Probability Models

R. Larsen and M. Marx: An Introduction to Mathematical Statistics, Prentice-Hall, 1986。
Foundations of Modern Probability by Olav Kallenberg

汪仁官,《概率论引论》,北大版

程士宏,《高等概率论》,北大版
严士健,《概率论基础》,北大版


陈希孺,高等数理统计,科大版

王(辛/梓)坤《概率论基础及其应用》《概率论及其应用》科学出版社

苏淳《概率论》中国科学技术大学讲义

杨振明《概率论》科学出版社

《概率论基础》李贤平

《概率论与数理统计》(上、下)中山大学数学力学系编

82《概率论基础》李贤平

84《概率与统计》陈家鼎, 郑忠国编著

85《概率论与数理统计》盛骤,谢式千,潘承义编

【习题集】

【提高】

88《测度论与概率论基础》程士宏编著

90《现代概率论基础》汪嘉冈编著

91《分析概率论》拉普拉斯著

《决疑数学》(伽罗威著),

92《概率论及其应用》威廉•费勒著

93《概率, 随机变量, 与随机过程》 帕普里斯著

94《概率论与数理统计讲义•提高篇》姚孟臣编著

95《概率论思维论》张德然著

96《概率论思想方法的历史研究》朱春浩编著

97《概率论的思想与方法》运怀立著

补充:《逻辑代数》沈小丰, 喻兰, 沈钰编著 

Random Walk & Random Variables

Hughes, B. Random Walks and Random Environments. Vol. 1. Oxford, UK: Clarendon Press, 1996. ISBN: 0198537883.

Buy at Amazon Redner, S. A Guide to First Passage Processes. Cambridge, UK: Cambridge University Press, 2001. ISBN: 0521652480.

Buy at Amazon Risken, H. The Fokker-Planck Equation. 2nd ed. New York, NY: Springer-Verlag, 1989. ISBN: 0387504982.

Further Readings

Buy at Amazon Bouchaud, J. P., and M. Potters. Theory of Financial Risks. Cambridge, UK: Cambridge University Press, 2000. ISBN: 0521782325.

Buy at Amazon Crank, J. Mathematics of Diffusion. 2nd ed. Oxford, UK: Clarendon Press, 1975. ISBN: 0198533446.

Buy at Amazon Rudnick, J., and G. Gaspari. Elements of the Random Walk. Cambridge, UK: Cambridge University Press, 2004. ISBN: 0521828910.

Buy at Amazon Spitzer, F. Principles of the Random Walk. 2nd ed. New York, NY: Springer-Verlag, 2001. ISBN: 0387951547.

Stochastic Calculus & Stochastic Process

S.M. Ross, Stochastic Processes, John Wiley & Sons, 1983
A First Course in Stochastic Processes by Samuel Karlin, Howard Taylor
A Second Course in Stochastic Processes by Samuel Karlin, Howard Taylor
The Theory of Stochastic Processes I &II Gikhman, I.I., Skorokhod, A.V

《随机过程及应用》陆大金

《随机过程》孙洪祥

《随机过程论》钱敏平,龚鲁光

钱敏平,龚光鲁,随机过程,北京大学出版社 
钱敏平,龚光鲁,随机微分方程,北京大学出版社

Probabilistic Methods in Combinatorics

The Probabilistic Method, by N. Alon and J. H. Spencer, 3rd Edition, Wiley, 2008.

Probability and Statistical Reference

Syllabus on Probability Theory

Random variable, Expectation, Independence

Variance and covariance, correlation, moment

Various distribution functions

Multivariate distribution

Characteristic function, Generating function

Various modes of convergence of random variables

Law of large numbers

Random series

Central limit theorem

Bayes formula, Conditional probability

Conditional expectation given a sigma-field

Markov chains

References:

1. Rick Durrett, Probability: Theory and Examples, Cambridge University Press, 2010

2. Kai-Lai Chung , A Course in Probability Theory, New York, 1968, Chinese translation ( Zhong Kailai: course in probability theory,mechanical industry publishing house, 2010)

Syllabus on Statistics

Distribution Theory and Basic Statistics

Families of continuous distributions: normal, chi-sq, t, F, gamma, beta; Families of discrete distributions: multinomial, Poisson, negative binomial; Basic statistics: sample mean, variance, median and quantiles.

Testing

Neyman-Pearson paradigm, null and alternative hypotheses, simple and composite hypotheses, type I and type II errors, power, most powerful test, likelihood ratio test, Neyman-Pearson Theorem , generalized likelihood ratio test.

Estimation

Parameter estimation, method of moments, maximum likelihood estimation, criteria for evaluation of estimators, Fisher information and its use, confidence interval.

Bayesian Statistics

Prior, posterior, conjugate priors, Bayesian estimator.

Large sample properties

Consistency, asymptotic normality, chi-sq approximation to likelihood ratio statistic.

References:

3. Casella, G. and Berger, R.L. (2002). Statistical Inference (2nd Ed.) Duxbury Press.

4. Mao poem song, Cheng Yiming, Pu Xiaolong, probability theory and mathematical statistics course (Second Edition), higher education press2008.

5. Chen Jiading, Sun Shanze, Li Dongfeng and Liu Liping, lectures on mathematical statistics, higher education press 2006.

6. Cheng, Chen Ziyi, Wang Jiagang, mathematical statistics, handouts, Fudan University Press 2006.

7. Chen xiru, Ni Guoxi, course in mathematical statistics, China University of science and technology press, 2009.

Sheldon M. Ross, Introduction to Probability Models

R. Larsen and M. Marx: An Introduction to Mathematical Statistics, Prentice-Hall, 1986。 
Foundations of Modern Probability by Olav Kallenberg

Wang ren, an introduction to probability theory, North Edition

CHENG Shihong, the high probability of Peking University
Yan Shijian, of the probability theory Foundation of the North version


Chen xiru, higher mathematics and statistics, University

Wang ( Xin / Zi ) Kun of the Foundation and its application to probability theory, probability theory and its applications, science press

Su Chun of the probability of the China Science and Technology University lecture notes

Yang Zhenming probability theory science press

Of the probability theory Foundation of the Li Xianping

Probability theory and mathematical statistics (upper and lower) of Sun Yat-sen University Department of mathematics and mechanics of knitting

82 Of the probability theory Foundation of the Li Xianping

84 Chen Jiading of the probability and statistics , Written by Zheng Zhongguo

85 Sudden sheng of the probability theory and mathematical statistics, Xie shiqian, Pan Chengyi series

“Onward”

“Increase”

88 Written by CHENG Shihong of the measure theory and probability theory

90 Of the basis of modern probability theory written by Wang Jiagang

91 The analysis of probability theory, Laplacian of the

Solve math (Galen Lowe with),

92 Weilian·feile of the probability theory and its applications

93 The probability, Random variables, and stochastic processes papulisi the

94 Lectures on probability theory and mathematical statistics: lower post Yao Mengchen authoring

95 Probability theory thinking of the theory of Zhang Deran with

96 The probability theory thinking history study written by Zhu Chunhao

97 Shipped huaili of probability theory and method of the

Added: the logical algebra Shen Xiaofeng , Yu Lan , Written by Shen Yu

Random Walk & Random Variables

Hughes, B. Random Walks and Random Environments. Vol. 1. Oxford, UK: Clarendon Press, 1996. ISBN: 0198537883.

Buy at Amazon Redner, S. A Guide to First Passage Processes. Cambridge, UK: Cambridge University Press, 2001. ISBN: 0521652480.

Buy at Amazon Risken, H. The Fokker-Planck Equation. 2nd ed. New York, NY: Springer-Verlag, 1989. ISBN: 0387504982.

Further Readings

Buy at Amazon Bouchaud, J. P., and M. Potters. Theory of Financial Risks. Cambridge, UK: Cambridge University Press, 2000. ISBN: 0521782325.

Buy at Amazon Crank, J. Mathematics of Diffusion. 2nd ed. Oxford, UK: Clarendon Press, 1975. ISBN: 0198533446.

Buy at Amazon Rudnick, J., and G. Gaspari. Elements of the Random Walk. Cambridge, UK: Cambridge University Press, 2004. ISBN: 0521828910.

Buy at Amazon Spitzer, F. Principles of the Random Walk. 2nd ed. New York, NY: Springer-Verlag, 2001. ISBN: 0387951547.

Stochastic Calculus & Stochastic Process

S.M. Ross, Stochastic Processes, John Wiley & Sons, 1983
A First Course in Stochastic Processes by Samuel Karlin, Howard Taylor
A Second Course in Stochastic Processes by Samuel Karlin, Howard Taylor
The Theory of Stochastic Processes I &II Gikhman, I.I., Skorokhod, A.V

The stochastic processes and applications of Lu Dajin

Of the random process of the Sun

Qian Minping of the theory of stochastic processes, Gong Luguang

Qian Minping, Gong Guanglu, a stochastic process, Peking University Press 
Qian Minping, Gong Guanglu, stochastic differential equations, Peking University Press

Probabilistic Methods in Combinatorics

The Probabilistic Method, by N. Alon and J. H. Spencer, 3rd Edition, Wiley, 2008.

Advanced Geometry

几何中的应用问题

1。构形空间,非平凡构性空间的例子,平面摆与三维摆,二级复合摆,绕固定点运动的刚体。

2。相空间,例子。

3。切流形。

4。变分问题,欧拉方程。

5。辛空间与辛流形的定义。

6。辛空间上的辛形式,它的性质。

7。Hamilton函数,Hamilton方程组。

8。函数的斜导数,Poisson括号。

9。首次积分。

10。向量场及其平面分布。

11。Frobenius定理,复形式。

12。化辛形式为标准型,Darboux定理。

13。交换向量场与微分同胚群。

14。辛流形上微分同胚群的有限李代数。

15。首次与对称积分的Netter定理。

16。完全可积Hamilton系统的Liouville定理。

17。非交换情形的完全可积系统。

18。刚体动力学的可积性。

19。流形上的微分算子的概念。

20。流形上的拟微分算子。

21。Sobolev空间上的拟微分算子与Sobolev准则。

22。关于Sobolev空间的紧致性的Sobolev定理。

23。Fredholm算子与紧算子。

24。Fredholm算子的指标及其性质。

25。Fredholm择一定理。

26。向量丛与椭圆算子。

27。Atiyah——Singer指标定理。

1,M.Hirsh,Differential Topology,Springer,1976。

2,R.Thom,微分流形的一些整体性质,载入“纤维空间及其应用”一书,莫斯科外文出版社,1958。

3,V.V.Trofimov、A.T.Fomenko,可积哈密顿微分方程的代数与几何,法克特里亚出版社,1995。

4,V.I.Arnold、V.V.Kozlov、A.I.Neyshtadt,经典力学与天体力学中的数学论题,苏联科技情报研究所,1985。

5,A.S.Mishchenko,纤维丛及其应用,科学出版社,1984。

有理奇点

1,态射,Grothendieck对偶。 

2,Grauert-Riemenschneider定理。 

3,有理奇点的判定,Kempfa与Kovacs判据。 

4,Elkik定理。 

5,平坦态射,有理形式环绕点的奇点性质的的可定义性。 

6,Flenner关于拟齐次奇点的结果。 

7,Boutot定理。

8,广义Schubert流形上的圆锥。[Ke2] 

选修本课程的学生要求熟悉代数几何和交换代数的基本知识。

[A-K] A. Altman, S. Kleiman. Introduction to Grothendieck duality theory. Springer-Verlag, 1970. 

[Bou] J-F. Boutot. Singularit\’es rationelles et quotient par les groupes r\’eductifs // Invent.Math. 88, 65–68 (1987) . 

[El] R. Elkik. Singularites rationelles et deformations // Invent. Math. 47,139–147 (1978). 

[Fl] H. Flenner. Rationale quasihomogene Singularitaeten. //Arch. Math. 36(1), 35–44 (1981). 

[G-R] H. Grauert, O. Riemenschneider. Verschwindungssaetze fuer analytische Kohomologiegruppen auf komplexen Raeumen // Invent. Math. 11, 263–292(1970). 

[Ha] R.Hartshorne. Algebraic Geometry. Springer-Verlag, 1997. 

[Ha2] R. Hartshorne. Residues and duality. Springer LNM 20, 1966. 

[Ke] G. Kempf. Cohomology and convexity. // G.Kempf, F. Knudsen, D. Mumford, B. Saint-Donat. Toroidal Embeddings I. Springer LNM 339, Chap. I, \S 3, 49–52 (1973). 

[Ke2] G. Kempf, A. Ramanathan. Multi-cones over Schubert Varieties. // Inv. Math. 87, 353–363 (1987). 

[Ko] S. Kov\’acs. A Characterization of Rational Singularities. // Duke Math. J. 102(2), 187–191 (2000). 

[V] E. Viehweg. Rational singularities of higher dimensional schemes. // Proc. Am. Math. Soc. 63, 6-8 (1977). 

Kahler几何

1。一般复流形,Levi-Civita联络,Nyulendera-Nienhoysa定理。

2。Kahler流形,和乐群,Riemann流形的和乐群分类的Berger定理。

3。Riemann流形上的Hodge理论。

4。Kahler流形上的Hodge分解,小平邦彦比率,Lefschetz定理。

5。Kodaira-Nakano定理,嵌入的小平邦彦定理。

6。Calabi-Yau定理及其应用。

7。具有$ c_1 = 0 $的流形的Bogomolov结构定理。

8。小平邦彦的形变理论基础,空间形变的Bogomolov-Tian-Todorov定理,Calabi-Yau流形。

选修本课程的学生需要有光滑流形的知识,比如说上过“微分几何与拓扑学”这门课。

学习过de Rham上同调和代数几何引论课程会很有帮助,但是并非必须。

选修本课程的学生需要有光滑流形的知识,比如说上过“微分几何与拓扑学”这门课。

学习过de Rham上同调和代数几何引论课程会很有帮助,但是并非必须。

参考书目:

1,Griffiths、Harris,Principles of Algebraic Geometry,Wiley Interscience,1978。

2,A.S.Mishchenko,向量丛及其应用,科学出版社,1984。

3,A.Besse,Einstein Manifolds,Springer,1987。

4,D.Mumford,Algebraic Geometry I:Complex Projective Varieties,Springer,1976。

奇点理论、辛几何与接触几何

第一学期

光滑映射的奇点理论

1,函数与映射的临界点。

2,节空间与映射的芽,Sard定理,Thom横截性定理。

3,微分同胚群作用,奇点的分类,例子。

4,同伦方法,Morse引理。

5-6,局部代数奇点,映射的多样性。

7-8,分割定理,Malgrange定理。

9-10,奇点的形变,大范围定理,分岔图。

11,稳定性,无穷维稳定性。

12-13,函数的奇点的大范围形变与反演生成群。

14-15,Milnor纤维,消去同调,超曲面的奇点的消去同调。

16-17,满映射横截,分类。

第二学期

辛几何与接触几何

1-2,向量辛空间,Darboux定理。

3,Lagrangian子流形生成类,焦散与波前。

4-5,接触流形、Legendre子流形、接触生成类、波前。

6-7,Hamiltonian动力系统与光学的Lagrangian子流形、光学仪器、微分几何中的指数映射。

8,Hamilton-Jacobi方程解的奇点。

9-10,微分几何中的Lagrangian和Legendre奇点的例子。

11-12,焦散与波前博的分岔、向量场、自由因数、例子。

13-14,在流体力学中的应用、辛流形与接触流形中的不变量。

15-17,辛拓扑基础。

1,V.I.Arnold、A.N.Varchenko、S.M.Husein-Zade,可微映射的奇点理论,科学出版社,1986。

2,V.I.Arnold,Singularities of Caustics and Wavefronts,Kluwer,1990。

3,V.I.Arnold,经典力学的数学方法,科学出版社,第三版,1989。

4,M.Golubitsky、B.Guillemin,Stable Mappings and Their Singularities,Springer,1973。

Gromov-Witten不变量与量子上同调

1,Gromov-Witten不变量的几何定义,量子上同调环。

2,Grassman流形的量子上同调,Lagrange与正交Grassman流形。

3,任意群的Grassman流形的量子上同调。

4,Gromov-Witten不变量的公理化分析,曲面的映射的模空间,位势。

5,Gromov-Witten不变量的公理化定义,超越不变量。

6,Lefschetz弱定理,完全相交的Gromov-Witten不变量。

7,正分类不变量,强量子上同调。

1,Yuri Manin,Frobenius Manifolds,Quantum Cohomology and Moduli Spaces,AMS。

2,A.Beauville,Quantum Cohomology of Complete Intersections,preprint,alg-geom/9501008。

3,A.S.Buch、A.Kresch、H.Tamvakis,Gromov-Witten Invariants on Grassmannians,preprint,math.AG/0306388。

4,A.Gathmann,Absolute and relative Gromov-Witten invariants of very ample hypersurfaces,preprint,math.AG/0009190。

5,M.Kontsevich、Yuri Manin,Gromov-Witten Classes,Quantum Cohomology and Enumerative Geometry,Commun.Math.Phys. 164 (1994) 525-562。

量子场论

1,数学物理回顾,分析力学,集合光学与变分法,量子力学与波动光学。

2,量子力学中的准经典渐进方程,复芽的Maslov定理,Fourier积分算子,拟微分算子与Weyl运算。

3,经典场论与多维变分法。

4,泛函积分,路径积分与量子力学。

5,Gauss泛函积分,Boson与grassman情形。

6,空间曲面上的二次量子化。

7,Vika定理,Feymann图与摄动理论。

8,量子场论中的算子代数。

9,共形场论的Gauss模型。

10,Bogolyubov-Parasyuk定理。

11,Hamilton方法,复芽方法,量子场论中的准经典动力学演化。

12,重整化与重整化群,场论中的模空间的临界曲面与不动点。

13,Callan–Simanchik方程,Virasoro代数与不动点。

14,Virasoro代数的表示与共形场论。

Quantum Field Theory

1,N.N.Bogolyubov、D.V.Shirkov,量子场论引论,科学出版社。

2,N.N.Bogolyubov、D.V.Shirkov,量子场论,科学出版社。、

3,V.P.Maslov、O.Yu.Shvedov,多体问题与量子场论中的复芽方法,URSS。

4,A.V.Stoyanovsky,量子场论中的数学原理引论,URSS。

5,C.Itzykson、H.Saleur、J-B.Zuber,Conformal Invariance and Applications toStatistical Mechanics,World Scientific。

6,C.Itzykson、J-B.Zuber,Quantum Field Theory,McGraw-Hill。

7,R.Ticciati,Quantum Field Theory For Mathematicians,Cambridge UniversityPress。

Introduction to algebraic geometry

1 。 Projective cone line, projective quadric surfaces.

2 。 Grassman space and Grassman clusters.

3 。 Affine algebraic varieties, to define the ideal, regular functions, the morphisms.

4 。 Hilbert nullstellensatz, affine algebraic varieties and areas of limited non-nilpotent algebra of the dual.

5 。 Zarisky topology is irreducible nest, algebraic decomposition into irreducible components mounting.

6 。 Die dominated morphisms theorem, rational functions and mappings.

7 。 The direct product of algebraic mounting. Probability and geometry of the ring homomorphism

8 。 Dimensions,Krull theorem, the dimension theorem for morphisms.

9 。 Tangent spaces and mappings, smooth and singularity.

10 。 Finite morphisms, formal cluster.

11 。 The general concept of algebraic variety, projective variety and its completeness.

12 。 Plane projective algebraic curve intersects the plane projective algebraic curve,Bezout theorem.

13 。 Projective algebraic plane curve singularity and duality,Pluecker formula.

14 。 Rational curves,Veronese curve, cubic curves.

15 。 Curves on surfaces, smooth cubic surface 27 line problem.

16 。 Vector bundles and their cross-layer, vector bundles on projective algebraic curves.

17 。 Reversible floor,Picard Group of line bundles on affine and projective spaces.

18 。 The tangent bundle and cotangent bundle, bundle, and Yu Zheng, Plexus,Euler exact sequence.

19 。 Singularities and conical surfaces.

20 。 Complex projective algebraic curve,Serre duality,Riemann-Roch theorem.

1 , I.R.Shafarevich Basic algebraic geometry, volume I, science press, 1988 。

2 , J.G.Semple 、 L.Roth , Introduction to Algebraic Geometry , Oxford UniversityPress , 1986 。

3 , V.L.Danilov Algebraic manifolds and almost all Russian Institute of scientific and technical information, 1988 。

4 , C.H.Clemens , A Scrapbook of Complex Curve Theory , Plenum Press , 1980 。

5 , X.Kraft , Method of geometric invariant theory, MIR Publishing House, 1987 。

6 , M.Reid , Undergraduate Algebraic Geometry , Cambridge University Press , 1988 。

7 , E.B.Vinberg 、 A.L.Onischik , Lie Groups and algebraic groups, science press, 1988 。

Rational Singularity

1 , Morphisms, Grothendieck Dual.

2 , Grauert-Riemenschneider Theorem.

3 , The rational judgment of the singularity, Kempfa Kovacs Criterion.

4 , Elkik Theorem.

5 Flat morphisms, a rational form around the nature of the definition of the singularity.

6 , Flenner Results of singularities to be homogeneous.

7 , Boutot Theorem.

8 General Schubert Cone on the manifold. [Ke2]

Take this course students are required to be familiar with algebraic geometry and commutative algebra basics.

[A-K] A. Altman, S. Kleiman. Introduction to Grothendieck duality theory. Springer-Verlag, 1970.

[Bou] J-F. Boutot. Singularit\’es rationelles et quotient par les groupes r\’eductifs // Invent.Math. 88, 65–68 (1987).

[El] R. Elkik. Singularites rationelles et deformations // Invent. Math. 47,139-147 (1978).

[Fl] H. Flenner. Rationale quasihomogene Singularitaeten. Arch. Math. 36 (1), 35–44 (1981).

[G-R] H. Grauert, O. Riemenschneider. Verschwindungssaetze fuer analytische Kohomologiegruppen auf komplexen Raeumen // Invent. Math. 11, 263–292 (1970).

[Ha] R.Hartshorne. Algebraic Geometry. Springer-Verlag, 1997.

[Ha2] R. Hartshorne. Residues and duality. Springer LNM 20, 1966.

[Ke] G. Kempf. Cohomology and convexity. G.Kempf, F. Knudsen, D. Mumford, B. Saint-Donat. Toroidal Embeddings I. Springer LNM 339, Chap. I, \S 3, 49–52 (1973).

[Ke2] G. Kempf, A. Ramanathan. Multi-cones over Schubert Varieties. Inv. Math. 87, 353–363 (1987).

[Ko] S. Kov\’acs. A Characterization of Rational Singularities. Duke Math. J. 102(2), 187–191 (2000).

[V] E. Viehweg. Rational singularities of higher dimensional schemes. Proc. Am. Math. Soc. 63, 6-8 (1977).

Kahler

1 。 Generalized complex manifolds,Levi-Civita contactNyulendera-Nienhoysa theorem.

2 。 Kahler manifolds, and music group,Riemann manifolds and classification of Berger theorem.

3 。 Riemann manifold of Hodge theory.

4 。 Kahler manifolds of the Hodge decomposition, xiaopingbangyan ratio,Lefschetz theorem.

5 。 Kodaira-Nakano theorems of embedding theorem of xiaopingbangyan.

6 。 Calabi-Yau theorem and its applications.

7 。 $ C_1 = 0 $ manifold Bogomolov structure theorem.

8 。 The deformation theory of xiaopingbangyan, space deformation of Bogomolov-Tian-Todorov theoremCalabi-Yau manifold.

Students who take this course need to have knowledge of smooth manifolds, for example, went to ” Differential geometry and topology ” This course.

de Rham With reconciliation on an introduction to algebraic geometry course can be helpful, but not necessary.

Students who take this course need to have knowledge of smooth manifolds, for example, went to ” Differential geometry and topology ” This course.

de Rham With reconciliation on an introduction to algebraic geometry course can be helpful, but not necessary.

Bibliography:

1 , Griffiths 、 Harris , Principles of Algebraic Geometry , Wiley Interscience , 1978 。

2 , A.S.Mishchenko , Vector bundles and applications, science press, 1984 。

3 , A.Besse , Einstein Manifolds , Springer , 1987 。

4 , D.Mumford , Algebraic Geometry I : Complex Projective Varieties , Springer , 1976 。

Singularity Theory, Symplectic and contact geometry

The first semester

Theory of singular points of smooth maps

1 , And mapping of critical points of the function.

2 , Space and mapping of buds, Sard Theorem Thom Transversality theorem.

3 , A Diffeomorphism Group action, the classification of singularities, for example.

4 , Homotopy method Morse Lemma.

5-6 Locally algebraic singularities, mapping diversity.

7-8 , Division theorem, Malgrange Theorem.

9-10 , Singularity, the deformation law of large scope, the bifurcation diagram.

11 Stability, stability of infinite-dimensional.

12-13 , Large deformation of the singularities of the function and inversion group.

14-15 , Milnor Fiber, eliminating coherence, elimination of hypersurface singularities homology.

16-17 Full mapping cross section classification.

The second semester

Symplectic and contact geometry

1-2 , A vector space, Darboux Theorem.

3 , Lagrangian Submanifolds generate classes, caustics and wave-front.

4-5 And contact manifolds, Legendre Submanifolds and contact classes, the wave front.

6-7 , Hamiltonian Dynamical systems and optical Lagrangian In the differential geometry of submanifolds, optical instruments, the exponential map.

8 , Hamilton-Jacobi Equations with singularities.

9-10 , In differential geometry Lagrangian Legendre Examples of singular points.

11-12 , Caustics and wave-front blog bifurcation, vector field, the free factor, example.

13-14 And application of fluid mechanics, Symplectic manifolds and invariant of contact manifolds.

15-17 , Symplectic basis.

1 , V.I.Arnold 、 A.N.Varchenko 、 S.M.Husein-Zade , Theory of singularities of differentiable maps, science press, 1986 。

2 , V.I.Arnold , Singularities of Caustics and Wavefronts , Kluwer , 1990 。

3 , V.I.Arnold , Mathematical methods of classical mechanics, science press, third edition, 1989 。

4 , M.Golubitsky 、 B.Guillemin , Stable Mappings and Their Singularities , Springer , 1973 。

Gromov-Witten Invariants and quantum cohomology

1 , Gromov-Witten Invariant geometric definition of quantum cohomology ring.

2 , Grassman The quantum cohomology of the manifold, Lagrange With the orthogonal Grassman Manifold.

3 Any group Grassman The quantum cohomology of the manifold.

4 , Gromov-Witten Axiomatic analysis of invariants, Moduli Spaces of surface mapping, and potential.

5 , Gromov-Witten The axiomatic definition of invariants, beyond the invariants.

6 , Lefschetz Weaker theorems, completely intersect Gromov-Witten The invariant.

7 Are classification variables, the strong quantum cohomology.

1 , Yuri Manin , Frobenius Manifolds , Quantum Cohomology and Moduli Spaces , AMS 。

2 , A.Beauville , Quantum Cohomology of Complete Intersections , preprint , alg-geom/9501008 。

3 , A.S.Buch 、 A.Kresch 、 H.Tamvakis , Gromov-Witten Invariants on Grassmannians , preprint , math. AG/0306388。

4 , A.Gathmann , Absolute and relative Gromov-Witten invariants of very ample hypersurfaces , preprint , math. AG/0009190。

5 , M.Kontsevich 、 Yuri Manin , Gromov-Witten Classes , Quantum Cohomology and Enumerative Geometry , Commun.Math.Phys. 164 (1994) 525-562。

Quantum field theory

1 , Review of mathematics and physics, analytical mechanics, collection optics and calculus, quantum mechanics and wave optics.

2 , The classical asymptotic equations in quantum mechanics, complex shoot Maslov Theorem Fourier Integral operators, and pseudodifferential operators Weyl Operation.

3 Classical field theory and multidimensional variational method.

4 , Functional integration, path integrals and quantum mechanics.

5 , Gauss Functional integrals, Boson grassman Case.

6 Space on the surface of the second quantized.

7 , Vika Theorem Feymann And perturbation theory.

8 Quantum field theory of operator algebras.

9 Conformal field theory Gauss Models.

10 , Bogolyubov-Parasyuk Theorem.

11 , Hamilton Method of multiple bud method, classical dynamics in quantum field theory.

12 , Renormalization and renormalization group, field theory of moduli spaces of critical surfaces and fixed points.

13 , Callan–Simanchik Equation Virasoro Algebra and fixed points.

14 , Virasoro Algebra and field theory.

Quantum Field Theory

1 , N.N.Bogolyubov 、 D.V.Shirkov , An introduction to quantum field theory, science press.

2 , N.N.Bogolyubov 、 D.V.Shirkov Quantum field theory, science press. 、

3 , V.P.Maslov 、 O.Yu.Shvedov And many-body problem in quantum field theory and method of complex buds, URSS 。

4 , A.V.Stoyanovsky , Introduction to mathematical principle in quantum field theory, URSS 。

5 , C.Itzykson 、 H.Saleur 、 J-B. Zuber,Conformal Invariance and Applications toStatistical Mechanics,World Scientific。

6 , C.Itzykson 、 J-B. Zuber,Quantum Field Theory,McGraw-Hill。

7 , R.Ticciati , Quantum Field Theory For Mathematicians , Cambridge UniversityPress 。

Differential Geometry

古典微分几何

1, Descartes坐标系、坐标变换、Euclid空间中的曲线、梯度、余向量、Riemann度量、伪Riemann度量、Minkowski度量。

1。光滑曲线,参数化,切线,法线。

2。光滑曲面。

3。曲面的坐标,坐标曲线,光滑曲面的几何,切向量,内蕴坐标。

4。曲面间的映射,坐标变换,微分同胚的概念,局部坐标基变换的雅可比矩阵。

5。切平面及其方程,切平面间的距离。

6。曲线的弧长,自然参数。

7。曲线的曲率,密切面与密切圆,平缓曲线的曲率。

2, 正则曲线与Frenet三角形与Frenet挠曲线,平面曲线、具有常曲率的平面曲线、空间曲线、曲率与挠率的关系。

3, Frenet方程、Frenet公式。

9。扭转定理,Frenet三角形的扭转。

局部曲线论的基本定理、Minkowski空间、Minkowski空间上的Frenet方程、闭曲线、缠绕数、旋转度、凸曲线及其分类、四顶点定理。

10。曲率与挠率的计算公式。

11。曲面与空间曲线的自然参数方程。

12。曲面的第一基本形式,切向量的长度和夹角,内蕴坐标下的曲面面积,曲面分类问题的不同方法,

13。曲面上曲线的曲率与曲绿中心,Meusnier定理。

4, 狭义相对论的数学模型、Poincare群、Lorenz变换、曲面元、曲面的第一基本形式、曲面的定向、曲面上的诱导度量。

14。曲面的曲率与曲率中心,主曲率与主方向,曲面的第二基本形式。

5, Gauss映射、Weingarten映射、曲面的第二与第三基本形式、

15。作为第二基本形式下不变量的主曲率与主方向,欧拉公式,高斯曲率及其几何意义。

主曲率、主曲率与主方向的计算公式。旋转面、Beltrami-Enneper定理、直纹面。

6, 可展曲面、Weingarten曲面、极小曲面、共形参数化。

17。欧氏空间中曲线坐标下的光滑曲线与切向量,坐标变换,微分同胚,维数不变性,局部坐标基变换的雅可比矩阵。

18。欧氏空间中曲面的活动坐标,坐标变换与局部基,维数不变性,局部连续,活动坐标系下的方程组。

19。曲线坐标中的欧几里德度量,弧长、曲线间角度、体积,极坐标、柱坐标、球坐标下的映射。

20。黎曼度量及其例子,弧长、曲线间的角度、体积,等距映射,与欧几里德度量的等价。

7, Weierstrass表示、Minkowski空间上的曲面、超曲面、球面上的度量。

21。伪欧氏空间,正交完备性,正交基。

22。伪正交基与变换。

23。伪正交平面,解析表示,伪正交平面上的向量的角度。

24。欧氏空间上的正交群,伪正交群的结构。

25。二维球面与伪球面的几何,三角不等式。

26。球面与伪球面的唯一性,变换群作用下的球面与伪球面。

27。作为罗巴切夫斯基平面的伪球面,罗巴切夫斯基平面的凯莱模型及其变换群,欧几里德第五公设的独立性,欧几里德、黎曼与罗巴切夫斯基几何的概念。

28。极坐标下罗巴切夫斯基平面与球上的度量,闭曲线的长度与面积。

29。射影坐标下罗巴切夫斯基平面与球上的度量。

30。旋转面的坐标及主曲率,旋转面上的罗巴切夫斯基平面上的曲线及其曲率。

31。共形欧氏度量与等距坐标,球面与罗巴切夫斯基平面上的三角形的内角和的估计,等价度量。

8, Lobachevsky度量、Lobachevsky几何的Poincare度量模型与Klein度量模型、Minkowski空间中的类空曲面的曲率、复变换群、复解析函数、Riemann曲面、共形坐标。

9, Beltrami方程、球面度量与Lobachevsky度量、常曲率空间、矩阵空间中的曲面、矩阵的指数映射。

32。向量值函数的导数,仿射空间上的可微向量场及其基本性质。

10, 四元数、共形度量、共形变换、Liouville定理、向量场的可微性,方向导数、共变导数、协变微分与内蕴微分及其基本性质。

联络、曲面内蕴坐标上的微分算子,Christoffel符号、

35。Christoffel符号的对称性,Christoffel恒等式。

Gauss公式、Weingarten方程。

11, 平行向量场、曲面上曲线的测地曲率,测地线、

37。测地线的方程,测地线的存在与唯一性,罗巴切夫斯基平面上的测地线。

38。通过两点的测地线,测地半径。

39。测地距,于紧集上极限的关系。

40。二维曲面上的半测地坐标。

41。二维曲面上作为最短距离的测地线。

平行移动、

42。等距曲线的平行移动,向量场导数的行列式。

43。曲面上等距曲线向量场的旋转、转速和转角。

44。有界曲面上向量间的角度与平行移动,向量场的旋转与测地三角形的内角和。

45。有界曲面上向量间的角度与平行移动及曲面曲率之间的关系。

最短路径定理、高斯曲率的不变性,Gauss绝妙定理、Gauss方程、Codazzi-Mainardi 方程、曲率张量、局部曲面论的基本定理、Gauss曲率、测地平行坐标。

12, 曲面的同构、Maurer-Cartan方程、测地曲率、Gauss-Bonnet定理。球面与罗巴切夫斯基平面上的三角形的内角。

13, 曲面的大范围性质、Riemann与伪Riemann空间中的张量、伪微分同胚的单参数群、向量场的指数映射。

47。曲面上的球面映射。

48。曲面上的复结构,球面上的复结构,复形式的共形欧几里德度量。

Differential Geometry

1,B.A.Dubrovin、A.T.Fomenko、S.P.Novikov,现代几何学。

2,P.K.Rachevsky,微分几何教程,第13-58节(除23、29、30、33、43节)及第86-88节。

3,S.P.Novikov、A.T.Fomenko,微分几何与拓扑学初步,第一部分。

4,A.S.Mishchenko、A.T.Fomenko,微分几何与拓扑学简明教程,第1章第1、2节、第2章第4节、第4章、第5章。

5,P.K.Rachevsky,黎曼几何与张量解析,第44-48节。

A?C?菲金科《微分几何习题集》北京师范大学出版社

《微分几何理论与习题》里普希茨

A.T.Fomenko Differential geometry and topology,Consultants Bureau
Dubrovin, Fomenko, Novikov “Modern geometry-methods and applications”Vol 1—3
A Comprehensive Introduction to Differential Geometry vol 1-5 ,by Michael Spivak 

Differential Geometry of Curves and Surfaces by Manfredo Do Carmo
M. Postnikov,Linear algebra and differential geometry,Mir Publishers

W.M. Boothby, An Introduction to Differentiable Manifolds and Riemannian Geometry Academic Press, Inc., Orlando, FL, 1986

Chen Qing and Chia Kuai Peng, Differential Geometry  

Eisenhart的”Diffenrential Geometry(?)” 

N. Hicks, Notes on differential geometry, Van Nostrand.

Hilbert ,foundations of geometry;

T. Frenkel, Geometry of Physics

Peter Petersen, Riemannian Geometry:

Riemannian Manifolds: An Introduction to Curvature by John M. Lee:

Helgason , Differential Geometry,Lie groups,and symmetric spaces:

Lang, Fundamentals of Differential Geometry:

kobayashi/nomizu, Foundations of Differential Geometry:

Riemannian Geometry I.Chavel:

Darboux的”Lecons sur la theorie generale des surfaces”。

Gauss的”Disquisitiones generales circa superficies curvas”。

P.Dombrowski的”150 years after Gauss‘ ‘Disquisitiones generales circa superficies curvas‘ “

R.Osserman的”Lectures of Minimal Surfaces”

J.C.C.Nitsche的”Lectures on Minimal Surfaces”(Vol.1) 

陈省身,《微分几何讲义》,北大版
陈维桓,《微分流形初步》,高教版
苏步青, 《微分几何》,高教版

吴大任的”微分几何学(?)”,《微分几何讲义》高等教育出版社

沈纯理,黄宣国的”微分几何”(经济科学出版社,97)。

姜国英,黄宣国的”微分几何100例”。

彭家贵《微分几何》高等教育出版社

陈省身《微分几何》南开大学讲义

178《微分几何》第4版 梅向明, 黄敬之编 

181《微分几何》周建伟著

185《微分几何讲义》吴大任

【习题集与辅导书】

187《微分几何习题集》杨文茂,傅朝金,程新跃编著

188《微分几何理论与习题》里普希茨

189《微分几何学习指导与习题选解》梅向明,王汇淳编

【提高】

191《微分几何五讲》苏步青著

192《微分几何讲义》丘成桐,孙理察著

193《微分几何入门与广义相对论》梁灿彬,周彬著

Differential Forms

X

(Geometry of) Manifolds

Lang, Differential and Riemannian manifolds:

Warner,Foundations of Differentiable manifolds and Lie groups:

Introduction to Smooth Manifolds by John M. Lee:

1.W.M.Boothby “An Introduction to Differentiable Manifolds and Riemannian Geometry” 

B.A. Dubrovin, A.T. Fomenko, S.P. Novikov “Modern Geometry–Methods and Applications”的第一,二卷

Gallot, Hulin, Lafontain “Introduction to Riemannian Geometry”(?) 

J.Milnor Topology from a differential point of view (中译本:从微分观点看拓扑)

J.Milnor Morse Theory (中译本:莫尔斯理论)讲

Spivak “Calculus on Manifolds”(?) (中文名字就叫”流形上的微积分”).

V.I.Arnold “Mathematical Mathods of Classical Mechanics”

R.Narasimhan “Analysis on Real and Complex Manifolds” 

C. von Westenholz “Differential forms in Mthematical Physics” 

陈省身,陈维桓的”微分几何初步” 

白正国,沈一兵,水乃翔,郭效英 “黎曼几何初步”。

苏竞存 “流形的拓扑学”. 此书块头很大,内容翔实,而且有很多作者加的话, 有意思. 有本书,可能不入高手法眼,不过我觉得是很不错的,

Bott, Raoul, R. Bott, and Loring W. Tu. Differential Forms in Algebraic Topology (Graduate Texts in Mathematics; 82). Reprint edition. New York: Springer-Verlag, June 1, 1995. ISBN: 0387906134.

Buy at Amazon Abraham, Ralph, Jerrold E. Marsden, and Tudor Ratiu. “Manifolds, Tensor Analysis, and Applications.” Applied Mathematical Sciences. Vol. 75. New York: Springer Verlag, May 1, 1998. ISBN: 3540967907.

Buy at Amazon Hirsch, Morris W. “Differential Topology.” Graduate Texts in Mathematics. Vol. 33. Reprint edition. New York: Springer-Verlag, November 1, 1988. ISBN: 0387901485.

Geometric Analysis

Peter Li

Yau

微分几何与拓扑学

4。切向量与超曲面的切平面,可微函数的曲率张量。

5。流形上的光滑映射的可微形。

1, 向量场、光滑向量场和他的积分曲线,流、管状邻域、

7。流形的切向量丛,光滑向量丛。

8。正则映射下流形的逆映射的结构。

9。正则映射下紧致光滑流形的逆映射上的向量丛。

10。向量场的换位子,它的性质。

11。全纯向量丛,它的性质。

纤维丛、向量丛、球丛、拓扑群、轨道空间。

2, 透镜空间、同伦、同伦的映射、同伦类、基本群、基本群的运算、道路提升引理、同伦提升引理、轨道空间的基本群、乘积空间的基本群。

3, 同伦型、形变收缩、可缩空间、Brouwer不动点定理、Jordan曲线定理、曲面的边界、单纯形、单纯剖分、单纯复形、可单纯剖分空间、重心重分。

4, 承载形、单纯逼近定理、复形的棱道群、Van Kampen定理、轨道空间的单纯剖分、无穷复形。

5, 闭曲面的分类、曲面的可定向性、Euler示性数、曲面的符号、亏格。

1。有限覆盖,单位分解定理。

2。紧致流形嵌入Euclid空间。

12。线性微分形式,一些基本的线性微分形式。

13。张量场,局部性质。

14。张量的加法,多重线性函数,张量积,基本的张量场。

15。缩并运算,例子。

16。对称与斜对称张量,交错对称算子。

19。斜对称张量空间的基本信息,微分形式的基与坐标。

20。微分形式的坐标变换与坐标变换下的基的映射。

21。有向流形,有向图册,有向微分形式。

22。外微分,坐标下的外微分运算。

23。三维空间向量场的外微分运算。

24。de Rham上同调,de Rham定理。

25。de Rham上同调与流形上的微分形式的光滑映射的作用。

26。de Rham上同调的同伦性质。

27。de Rham上同调的同伦不变性,Poincare定理。

6, Riemann度量、Riemann流形、具有Riemann度量的光滑流形。Riemann乘积流形、Riemann子流形、Riemann浸没、复射影空间、齐性Riemann空间、Steenrod定理、联络、Levi-Civita联络、Riemann子流形的联络。

28。流形与子流形上微分形式的积分。

29。Riemann流形上函数的积分及其与微分形式的积分的比较,与三维空间上曲面与曲线上的向量场的积分的比较。

30。一般Stokes公式,特殊形式及结果(三维空间上的向量场、de Rham上同调)。

31。Euclid空间上向量场的微分,及其基本性质。

32。仿射的联络,向量场的绝对微分,坐标形式,Christoffel符号,等价联络,仿射等价联络。

33。对称仿射联络。

34。纵向曲线向量的微分与平行移动,切空间的变换,向量场上的微分算子的性质。

35。曲线沿着余向量与任意张量的移动,张量积与旋度。

36。张量的协变微分。

37。向量函数与张量场次微分的坐标形式,平行条件,张量的梯度,向量场的分叉。

38。Riemann流形上仿射联络的协调性条件。

39。Riemann流形上仿射联络存在与唯一性的Levi-Civita定理。

40。欧氏空间、伪欧氏空间与Riemann流形上的子流形的协变微分与仿射联络。

41。测地线及其方程,测地线方程的存在性,指定方向上某点的测地线的存在性与唯一性。

42。Riemann流形上的曲率,Riemann流形的子流形上的曲线的测地曲率,球上与Lobachevsky平面上的曲率。

7, 沿曲线的共变导数、平行移动、测地线、测地线的局部存在性与唯一性、指数映射、Gauss引理、完备Riemann流形、Hopf-Rinow定理。

43。初等变分法:极值的Lagrange与Euler方程。

44。作为作用量与长度泛函的极值的测地线。

45。点的邻域上的测地性质,存在性与可延伸性,测地完备流形上的测地线的无限延伸性。

46。闭集上的连通性与测地线,法坐标,测地球面,测地球面的半径,他们的正交性,测地极值。

47。Riemann流形的曲率张量。

48。曲率章量的性质及其坐标。

49。Riemann度量的符号。

50。二维Riemann流形的曲率,作为零曲率空间的局部欧氏空间。

51。截面曲率作为测地曲面的总曲率。

53。二维Riemann流形上沿着封闭道路的旋转张量场。

54。二维流形上闭曲线的环绕向量,测地三角形的内角和。

55。几何平均曲率张量(闭曲线的环绕向量及其与二重向量之间的关系)。

56。二维流形上沿着给定方向的几何曲率。

8, 割迹、第二共变导数、曲率张量的代数性质、曲率的计算、Ricci曲率、标量曲率、第一变分形式、第二变分形式、Jacobi场、水平提升。

9, O’Neill公式、正规齐性度量、Gauss引理、共轭点、具有常截面曲率的空间、Myers定理、Hadamard定理、微分流形上的可测集、体积估计、有限群的指数增长性、Milnor-Wolf定理。

10, 负曲率紧致流形的基本群的增长性、Milnor定理、Gauss-Bonnet公式、Gromov定理、Cheeger定理、共形平坦流形、第二Bianchi等式、单纯

同调群、边缘闭链、定向单纯形、同调群、同调类、单纯映射、链复形、辐式重分。

11, 映射度、连续向量场、Euler-Poincare公式、有理系数同调群、Borsuk-Ulam定理、Lusternik定理、Lefschetz不动点定理、Hopf定理。

12, 维数、纽结的等价、纽结群、Seifert曲面、覆盖空间、映射提升定理、万有覆盖空间。

13, 链环、Kauffman纽结多项式、Jones纽结多项式、Conway纽结多项式、Alexander纽结多项式、Vassiliev纽结不变量、Kontsevich定理。

1,S.P.Novikov、A.T.Fomenko,微分几何与拓扑学初步,科学出版社,1987。

2,B.A.Dubrovin、S.P.Novikov、A.T.Fomenko,现代几何学,科学出版社,1985。

3,P.K.Rachevsky,黎曼几何与张量解析,技术与理论文献出版社,1953。

4,A.S.Mishchenko、A.T.Fomenko,微分几何与拓扑学教程,法克特里亚出版社,2000。

5,S.P.Novikov、I.A.Taimanov,现代几何结构与场论,莫斯科独立大学出版社,2004。

6,J.Milnor,Morse理论,莫斯科世界图书出版社,1985。

陈维桓,《黎曼几何引论》(上、下册),北大版
伍宏熙,《黎曼几何初步》,北大版

Classical differential geometry

1 , Descartes coordinate system, the coordinate transformation,Euclid space curves, gradients, vector,Riemann metric, pseudo- Riemann metric, Minkowski metric.

1 。 Smooth curve parameterized, tangents, normals.

2 。 Smooth surfaces.

3 。 The coordinates of a surface, coordinate curves, smooth surface geometry, the tangent vector, intrinsic coordinates.

4 。 The mapping between the surfaces, coordinate transformations, diffeomorphisms, the concept of local coordinate basis transformation of Jacobian matrix.

5 。 Tangent plane equations, the distance between the cutting plane.

6 。 The arc length of curves, natural parameter.

7 。 The curvature of a curve, close and the osculating circle, gentle curvature of the curve.

2 , Regular curves and Frenet triangle and Frenet flexible curves , with constant curvature of plane curves, plane curves, space curve, the relationship between curvature and torsion.

3 , Frenet equations,Frenet formulas.

9 。 Torsion theorem,Frenet triangle reversed.

Fundamental theorem of the theory of local curve, Minkowski Space, Minkowski Space on the Frenet Equation, the number of closed curves, winding, rotation, four-vertex theorem, convex curve and its classification.

10 。 Calculation formulas of curvature and torsion.

11 。 Surfaces and natural parameter equation of a space curve.

12 。 The first fundamental form of a surface, tangent vector length and angle, surface area of intrinsic coordinates, classification of surfaces of different methods

13 。 The curvature of curves on the surface and curved Green Center,Meusnier theorem.

4 , Special relativity mathematics model and thePoincare Group,Lorenz transformations, surface, surface of the first fundamental form and surface orientation, the induced metric on the surface.

14 。 The center of curvature and the curvature of the surface, the principal curvatures and directions, the second fundamental form of a surface.

5 , Gauss map,Weingarten map, surface, the second and the third fundamental form,

15 。 As the second basic form non-variable curvature and direction, Euler’s formula, Gaussian curvature and its geometrical significance.

Principal curvature, Formula for calculating the principal curvatures and principal directions. Rotating surface,Beltrami-Enneper theorem, ruled.

6 , Developable surfaces,Weingarten surfaces, minimal surfaces, Conformal parameterization.

17 。 Curvilinear coordinates in the Euclidean space of smooth curves and tangent vectors, coordinate transformations, diffeomorphisms, invariance of dimension, the local Jacobian matrix of the coordinate basis transformation.

18 。 Activity coordinates of a surface in Euclidean space, coordinate transformations and local base, invariance of dimension, local continuous equations of the active coordinate system.

19 。 Curvilinear coordinates in the Euclidean metric, arc length, angles between curves, volumes, polar, cylindrical, spherical coordinates mapping.

20 。 Riemannian metrics and examples, arc length, the angle between curves, volumes, isometries, equivalent to the Euclidean metric.

7 , Weierstrass representation,Minkowski space on the surface, hypersurface, spherical measure on.

21 。 Pseudo-Euclidean space of orthogonal complete, orthogonal basis.

22 。 Pseudo-orthogonal basis transform.

23 。 Pseudo orthogonal plane, analytic expression for angle of pseudo orthogonal vectors in the plane.

24 。 Orthogonal groups on the Euclidean space, structure of pseudo orthogonal group.

25 。 Two-dimensional sphere and pseudosphere geometry, the triangle inequality.

26 。 The uniqueness of the sphere and pseudosphere, sphere and pseudosphere under transformation groups.

27 。 As Lobachevsky plane, pseudosphere, Gloria of the Lobachevsky plane models and transformation group, Euclid’s five postulates of independence, Euclid, Riemannian and lobachevskian geometry concepts.

28 。 Measurement on the Lobachevsky plane in polar coordinates with the ball closed curve of length and area.

29 。 Measurement on the Lobachevsky plane projective coordinates with the ball.

30 。 Rotating the coordinates and the principal curvatures of the surface, and rotation on the surface of luobaqiefusijiping curves and curvatures of the surface.

31 。 Conformal Euclidean metric and raster coordinates, the sum of the Interior angles of a triangle on a sphere and luobaqiefusijiping estimated that equivalent measures.

8 , Lobachevsky metric,Lobachevsky geometry of the Poincare metric model and the Klein model of measurement, Minkowskispace curvature of spacelike surfaces, complex transformations, complex analytic functions,Riemann surfaces, Conformal coordinate.

9 , Beltrami equation, spherical measure and Lobachevsky metric, a space of constant curvature, matrix, matrices, the exponential map of the surface in space.

32 。 Derivative of a vector-valued functions, differentiable vector fields on affine space and its basic properties.

10 , Four-element number, the Conformal metric, Conformal transformations,Liouville theorem, differentiability of a vector field, directional derivative and the covariant derivative and the covariant differential and intrinsic differential and its basic properties.

Liaison, Surface intrinsic differential operators on the coordinates, Christoffel Symbols,

35 。 Christoffel symbol symmetry,Christoffel identity.

Gauss Formulas, Weingarten Equation.

11 , Parallel vector fields, the GEODESIC curvature of the curve on a surface, GEODESIC, and

37 。 GEODESIC equations, existence and uniqueness of geodesics and geodesics on the luobaqiefusijiping.

38 。 Through two points of GEODESIC, GEODESIC RADIUS.

39 。 GEODESIC distance, in Compact sets limits on the relationship.

40 。 Half-GEODESIC coordinates on a two-dimensional surface.

41 。 As shortest geodesics on two-dimensional surfaces.

In parallel moves,

42 。 Offset curves parallel moves, the determinant of the derivative of a vector field.

43 。 Offset curves on surfaces, speed and angle of rotation of a vector field.

44 。 Bounded surfaces parallel to the angle between the vectors and moving, rotation of a vector field and measure the sum of the Interior angles of a triangle.

45 。 Bounded surfaces of vector angles and parallel relationship between curvature and movement.

Shortest path theorem, Gaussian curvature invariant Gauss Great theorem, Gauss Equation, Codazzi-Mainardi Curvature tensor, equation, theorem, the local surface theory Gauss Parallel to the curvature, GEODESIC coordinates.

12 , Surface of isomorphism,Maurer-Cartan equations, GEODESIC curvature,Gauss-Bonnet theorem. The Interior angles of a triangle on a sphere and luobaqiefusijiping.

13 , Widespread nature of surfaces,Riemann and pseudo- Riemann space of tensors and fake a one-parameter group of diffeomorphisms, indices of a vector field maps.

47 。 Surface of sphere mapping.

48 。 Complex structures on the surface, spherical complex structures and complex form of Conformal Euclidean metric.

Differential Geometry

1 , B.A.Dubrovin 、 A.T.Fomenko 、 S.P.Novikov Modern geometry.

2 , P.K.Rachevsky , Differential geometry tutorials 13-58 (In addition to 23 、 29 、 30 、 33 、 43 Section) and 86-88Sections.

3 , S.P.Novikov 、 A.T.Fomenko And preliminary differential geometry and topology, the first part.

4 , A.S.Mishchenko 、 A.T.Fomenko , Differential geometry and topology, a simple tutorial, 1 Chapter 1 、 2 Section, subsection 2 Chapter 4 Section, subsection 4 Chapter, 5 Chapters.

5 , P.K.Rachevsky , Riemannian Geometry, and tensor analysis, 44-48 Sections.

A? C? Feijinke differential geometry problem set, Beijing Normal University Press

In the differential geometry theory and exercises puxici

A.T.Fomenko Differential geometry and topology ,Consultants Bureau
Dubrovin, Fomenko, Novikov “Modern geometry-methods and applications”Vol 1—3
A Comprehensive Introduction to Differential Geometry vol 1-5 ,by Michael Spivak 

Differential Geometry of Curves and Surfaces by Manfredo Do Carmo
M. Postnikov, Linear algebra and differential geometry ,Mir Publishers

W.M. Boothby, An Introduction to Differentiable Manifolds and Riemannian Geometry Academic Press, Inc., Orlando, FL, 1986

Chen Qing and Chia Kuai Peng, Differential Geometry

Eisenhart “Diffenrential Geometry(?)”

N. Hicks, Notes on differential geometry, Van Nostrand.

Hilbert ,foundations of geometry ;

T. Frenkel, Geometry of Physics

Peter Petersen, Riemannian Geometry :

Riemannian Manifolds: An Introduction to Curvature by John M. Lee :

Helgason , Differential Geometry,Lie groups,and symmetric spaces :

Lang, Fundamentals of Differential Geometry :

kobayashi/nomizu, Foundations of Differential Geometry :

Riemannian Geometry I.Chavel :

Darboux “Lecons sur la theorie generale des surfaces” 。

Gauss “Disquisitiones generales circa superficies curvas” 。

P.Dombrowski “150 years after Gauss’ ‘Disquisitiones generales circa superficies curvas’ “

R.Osserman “Lectures of Minimal Surfaces”

J.C.C.Nitsche “Lectures on Minimal Surfaces”(Vol.1)

Shiing-Shen Chern, lectures on differential geometry, North Edition
Chen Weihuan, the differentiable manifold of the preliminary higher education version
Su buqing , Of the differential geometry of the higher education version

Wu Daren ” Differential geometry (?)”, Lectures on differential geometry of the higher education press

Shen, chunli , Huang Xuanguo ” Differential geometry “( Economic science press , 97) 。

Jiang Guoying , Huang Xuanguo ” Differential geometry 100 ” 。

Peng Jia GUI of the differential geometry of the higher education press

Shiing-Shen Chern, lectures on differential geometry of Nankai University

178 Of the differential geometry 4 Mei Xiangming , Huang Jingzhi series

181 Of the differential geometry of the zhoujianwei the

185 Lectures on differential geometry of the Wu

“The problem sets and books”

187 Yang wenmao the differential geometry problem set , Fu Chaojin , Written by Chen xinyue

188 Puxici the differential geometry theory and exercises

189 Of the solutions of differential geometry study guide and exercises selected Mei Xiangming, Wang Huichun series

“Increase”

191 The differential geometry of five talk with Su buchin

192 Lectures on differential geometry, Shing-Tung Yau, Sun Licha on

193 Liang Canbin the introduction to differential geometry and general relativity, now the

Differential Forms

X

(Geometry of)Manifolds

Lang, Differential and Riemannian manifolds :

Warner,Foundations of Differentiable manifolds and Lie groups :

Introduction to Smooth Manifolds by John M. Lee :

1.W.M.Boothby “An Introduction to Differentiable Manifolds and Riemannian Geometry”

B.A. Dubrovin, A.T. Fomenko, S.P. Novikov “Modern Geometry–Methods and Applications” The first , Two volumes

Gallot, Hulin, Lafontain “Introduction to Riemannian Geometry”(?)

J. Milnor differential Topology from a point of view ( translation : from the viewpoint of differential topology)

J. Milnor Morse Theory ( translation : Morse theory ) About

Spivak “Calculus on Manifolds”(?) ( Chinese name called ” calculus on manifolds”).

V.I.Arnold “Mathematical Mathods of Classical Mechanics”

R.Narasimhan “Analysis on Real and Complex Manifolds”

C. von Westenholz “Differential forms in Mthematical Physics”

Shiing-Shen Chern , Chen Weihuan ” Preliminary differential geometry”

Zhengguo Bai , Shen yibing , Shui Naixiang , Guo Xiaoying ” Initial Riemannian Geometry ” 。

Su Jingcun ” The topology of manifolds “. This book was a large , The informative , And there are many authors and , Interesting . There is a book , May not import expert discernment , But I think it is very good,

Bott, Raoul, R. Bott, and Loring W. Tu. Differential Forms in Algebraic Topology (Graduate Texts in Mathematics; 82). Reprint edition. New York: Springer-Verlag, June 1, 1995. ISBN: 0387906134.

Buy at Amazon Abraham, Ralph, Jerrold E. Marsden, and Tudor Ratiu. “Manifolds, Tensor Analysis, and Applications.” Applied Mathematical Sciences. Vol. 75. New York: Springer Verlag, May 1, 1998. ISBN: 3540967907.

Buy at Amazon Hirsch, Morris W. “Differential Topology.” Graduate Texts in Mathematics. Vol. 33. Reprint edition. New York: Springer-Verlag, November 1, 1988. ISBN: 0387901485.

Geometric Analysis

Peter Li

Yau

Differential geometry and topology

4 。 Tangent vector with hypersurface tangent, curvature tensor of differentiable functions.

5 。 Smooth maps on differentiable manifolds.

1 , Vector field, the integral curves of the vector field and his smooth, flow, tubular neighborhood,

7 。 Manifold tangent vector bundle, smooth vector bundles.

8 。 Regular map dirty form inverse mapping of the structure.

9 。 Canonical mapping is a compact inverse mapping of vector bundles on a smooth manifold.

10 。 The commutator of vector fields, and its nature.

11 。 Holomorphic vector bundle its properties.

Fiber bundles and vector bundles, the sphere bundle, topological groups, track space.

2 , Lens spaces, homotopy, homology of map, homotopy, fundamental group, the basic group of operations, path lifting lemma, homotopy lifting lemma, the orbit space of fundamental groups, basic groups of product space.

3 , Homotopy types, deformation retraction, contractible space, theBrouwer fixed point theorem, theJordan curve theorem, surface boundaries, simplex, simple partitioning, simplicial complex, but simple partitioning space, Barycentric subdivision.

4 , Hosting, simplicial approximation theorem, complex edge group, andVan Kampen theorem, the orbit space of simple triangulation, infinitely complex.

5 , Classification of closed surfaces, surfaces of orientability, andEuler characteristic number, the symbols, the genus of the surface.

1 。 Limited overwrite, decomposition theorem.

2 。 Compact manifolds embedded in Euclid space.

12 。 Linear differential form, some basic linear differential form.

13 。 Tensor fields, local properties.

14 。 Tensor addition, multilinear function, tensor, tensor fields.

15 。 Contraction operation, for example.

16 。 Symmetric and skew-symmetric tensor, staggered symmetric operators.

19 。 Basic information of the skew-symmetric tensor space, differential forms the base and coordinate.

20 。 Differential form under the coordinate transformations and coordinate transformations of base maps.

21 。 To the manifold, to books, to differential forms.

22 。 Exterior derivative, exterior differential operation that coordinates.

23 。 Three dimensional space vector field of differential operation.

24 。 De Rham cohomology,de Rham theorem.

25 。 De Rham cohomology of differential forms on a manifold of smooth maps.

26 。 De Rham cohomology of homotopy properties.

27 。 De Rham cohomology of the homotopy invariance ofPoincare theorem.

6 , Riemann metric,Riemann manifolds, and Riemann metric of a smooth manifold. Riemann product manifold,Riemann manifolds, andRiemann immersion, complex projective space, homogeneous Riemann space, Steenrod Theorem, contact, Levi-CivitaLiaison, Riemann Submanifolds in contact.

28 。 Manifold and the integration of differential forms on a manifold.

29 。 Riemann integral of a function on a manifold and its comparison with the differential form of integral, and three dimensional space curved surface and curve integral of a vector field on.

30 。 Stokes formula, special forms and results (three dimensional space of vector fields and thede Rham cohomology).

31 。 Euclid space derivative of a vector field, and its basic properties.

32 。 Affine contact absolute derivative of a vector field, coordinate,Christoffel symbols, equivalent contact contact the affine equivalence.

33 。 Symmetric affine connection.

34 。 Vector differential and moving parallel to the vertical curve, tangent space transformation properties of differential operators on a vector field.

35 。 Curve moves along the vectors with arbitrary tensors, tensor products and curl.

36 。 Tensor’s covariant derivative.

37 。 Number of vector and tensor coordinates of differential forms, parallel condition, the gradient of a tensor, vector field of fork.

38 。 Riemann coordination condition of the affine connection on a manifold.

39 。 Riemann affine connection on a manifold and uniqueness of the Levi-Civita theorem.

40 。 Euclidean space, pseudo-Euclidean space and Riemann manifold of submanifolds of covariant derivative and affine connection.

41 。 And its equation of GEODESIC, GEODESIC equations of existence, specify the direction of a point on the existence and uniqueness of geodesics.

42 。 Riemann curvature of manifolds andRiemann manifold of the GEODESIC curvature of the curve on the manifold, ball and Lobachevsky plane of curvature.

7 , Covariant derivative along a curve, parallel move, GEODESIC, GEODESIC local existence and uniqueness, exponential map,Gauss ‘s lemma, complete Riemann manifolds and theHopf-Rinow theorem.

43 。 Elementary calculus: extreme value of Lagrange and Euler equations.

44 。 As action and extreme value for the functional length of the GEODESIC.

45 。 GEODESIC nature of the neighborhood, and extensibility, GEODESIC completeness of geodesics on a manifold of infinite extension.

46 。 Connectivity on a closed set and geodesics, normal coordinates, measuring the Earth’s surface, measuring the radius of the Earth’s surface, their orthogonality and Geodesy extrema.

47 。 Riemann curvature tensor of the manifold.

48 。 Properties of curvature and its coordinates.

49 。 Riemann metric symbols.

50 。 Two-dimensional Riemann curvature of the manifold, as a locally Euclidean space of zero curvature.

51 。 Sectional curvature, as measured the total curvature of a surface.

53 。 Two-dimensional Riemann manifolds the rotation tensor field along the closed road.

54 。 Around the closed curve on a two-dimensional manifold a vector measure the sum of the Interior angles of a triangle.

55 。 Geometric mean curvature tensor (a closed curve surrounding the relationship between the vector and bivector).

56 。 Two-dimensional geometric curvature of the manifold along a given direction.

8 , Cut locus, the second covariant derivative, the curvature tensor algebra properties, calculation of curvature,Ricci curvature, the scalar curvature, the second variation of the first variational forms, forms,Jacobifield, level.

9 , O ‘ Neill formula, formal homogeneity metric,Gauss ‘s lemma, conjugate, with constant sectional curvature of space and theMyers theorem,Hadamard theorem, a differentiable manifold on the measurable sets, Volume estimates, exponential growth of finite groups, andMilnor-Wolf theorem.

10 , Fundamental groups of compact manifolds of negative curvature growth, andMilnor theorem,Gauss-Bonnetformula,Gromov theorem, theCheeger theorem, Conformally flat manifolds, the second Bianchi identity, simple

Homology groups, edge closed, oriented simplexes, homology group, homology classes, simple mapping, chain complex, Web type.

11 , Maps, continuous vector field,Euler-Poincare formula, rational coefficient homology group,Borsuk-Ulamtheorem,Lusternik theorem,Lefschetz Fixed point theorem andHopf theorem.

12 , Dimension and knot equivalence, knot groups, andSeifert surface, covering spaces, mapping, lifting theorem, the universal covering space.

13 , Chain ring,Kauffman knot polynomial,Jones knot polynomial,Conway knot polynomial,Alexander knot polynomial, Vassiliev knot invariants, andKontsevich theorem.

1 , S.P.Novikov 、 A.T.Fomenko And preliminary differential geometry and topology, science press, 1987 。

2 , B.A.Dubrovin 、 S.P.Novikov 、 A.T.Fomenko Modern geometry, science press, 1985 。

3 , P.K.Rachevsky , Riemannian Geometry, and tensor analysis, technology and literature Publishing House, 1953 。

4 , A.S.Mishchenko 、 A.T.Fomenko , Course in differential geometry and topology, faketeliya Publishing House, 2000 。

5 , S.P.Novikov 、 I.A.Taimanov Modern geometry and field theory, independent of Moscow University Press, 2004 。

6 , J.Milnor , Morse Theory of Moscow book publishers in the world, 1985 。

Chen Weihuan, an introduction to Riemannian Geometry (upper and lower), Peking University
Wu Hongxi, of the initial Riemannian Geometry, North Edition

Application of geometric problems

1 。 Configuration space, examples of non-trivial structure space, planar pendulum with three-dimensional, and secondary compound pendulum movement of the rigid body around a fixed point.

2 。 Phase space, for example.

3 。 Manifold.

4 。 Variational problems, Euler’s equation.

5 。 Symplectic manifolds and symplectic space is defined.

6 。 The symplectic form on the symplectic space and its nature.

7 。 Hamilton functionHamilton equations.

8 。 Oblique derivative function,Poisson brackets.

9 。 Score for the first time.

10 。 Vector fields and their distribution.

11 。 Frobenius theorem of complex forms.

12 。 Symplectic form into standard form,Darboux theorem.

13 。 Exchange and the Diffeomorphism Group of a vector field.

14 。 Symplectic manifolds on the Diffeomorphism Group of finite algebras.

15 。 And symmetric integrals for the first time the Netter theorem.

16 。 Completely integrable Hamilton System Liouville theorem.

17 。 Non-commutative situation completely Integrable systems.

18 。 The integrability of the rigid body dynamics.

19 。 The concept of differential operators on manifolds.

20 。 The pseudo differential operators on manifolds.

21 。 Sobolev space of pseudodifferential operators with the Sobolev norms.

22 。 On the Sobolev space of compactness of Sobolev theorem.

23 。 Fredholm operators and compact operators.

24 。 Fredholm operators index and its properties.

25 。 Fredholm alternative theorem.

26 。 Vector bundles and elliptic operator.

27 。 Atiyah–Singer index theorem.

1 , M.Hirsh , Differential Topology , Springer , 1976 。

2 , R.Thom And some general properties of differentiable manifolds, loading ” Fiber spaces and its applications ” A book, Moscow, foreign languages Publishing House, 1958 。

3 , V.V.Trofimov 、 A.T.Fomenko , Differential equation of integrable Hamiltonian of algebra and geometry, faketeliya Publishing House, 1995 。

4 , V.I.Arnold 、 V.V.Kozlov 、 A.I.Neyshtadt , Mathematical topics in classical mechanics and celestial mechanics, science and technology information Research Institute of the Soviet Union, 1985 。

5 , A.S.Mishchenko Fiber bundle and its application, science press, 1984 。

Algebraic Geometry

Algebraic Geometry

Harris, Algebraic Geometry: a first course

Robin Hartshorne :Algebraic Geometry 

I.R.Shafarevich.:Basic Algebraic Geometry 1&2 2nd ed. 

giffiths/harris:Principles of Algebraic Geometry 

Eisenbud:”Commutative Algebra with a view toward Algebraic Geometry”, “The Geometry of Schemes”

David Mumford:”The Red Book of Varieties and Schemes”, “Algebraic Geometry I : Complex Projective Varieties”

代数几何引论

1。射影锥线,射影二次曲面。

2。Grassman空间与Grassman簇。

3。仿射代数簇,定义理想,正则函数,态射。

4。Hilbert零点定理,仿射代数簇与非幂零有限代数范畴的对偶。

5。Zarisky拓扑,不可约蔟,代数蔟分解成不可约分量。

6。模的支配态射定理,有理函数与映射。

7。代数蔟的直积。概型,环同态的几何

8。维数,Krull定理,层的态射的维数定理。

9。切空间与映射,光滑与奇点。

10。有限态射,正规簇。

11。代数簇的一般概念,射影簇及其完备性。

12。平面射影代数曲线,平面射影代数曲线的相交数,Bezout定理。

13。平面射影代数曲线的奇点与对偶,Pluecker公式。

14。有理曲线,Veronese曲线,三次曲线。

15。曲面上的曲线,光滑三次曲面上的27条线问题。

16。向量丛与它们的截面层,射影代数曲线上的向量丛。

17。可逆层,Picard群,仿射与射影空间上的线丛。

18。切丛,余切丛,正则丛,余正则丛,Euler正合序列。

19。奇异性与切锥面。

20。复射影代数曲线,Serre对偶,Riemann-Roch定理。

1,I.R.Shafarevich,基础代数几何,第一卷,科学出版社,1988。

2,J.G.Semple、L.Roth,Introduction to Algebraic Geometry,Oxford UniversityPress,1986。

3,V.L.Danilov,代数流形与概型,全俄科技信息研究所,1988。

4,C.H.Clemens,A Scrapbook of Complex Curve Theory,Plenum Press,1980。

5,X.Kraft,不变量理论的几何方法,MIR出版社,1987。

6,M.Reid,Undergraduate Algebraic Geometry,Cambridge University Press,1988。

7,E.B.Vinberg、A.L.Onischik,Lie群与代数群,科学出版社,1988。

Algebraic Geometry

Harris, Algebraic Geometry: a first course

Robin Hartshorne : Algebraic Geometry

I.R.Shafarevich. : Basic Algebraic Geometry 1&2 2nd ed.

giffiths/harris : Principles of Algebraic Geometry

Eisenbud : “Commutative Algebra with a view toward Algebraic Geometry”, “The Geometry of Schemes”

David Mumford : “The Red Book of Varieties and Schemes”, “Algebraic Geometry I : Complex Projective Varieties”

Advanced Topology

Algebraic Topology

Algebraic Topology, A. Hatcher:(http://www.math.cornell.edu/~hatcher/AT/ATpage.html)

Massey, A basic course in Algebraic topology, “, “Algebraic Topology: An Introduction”(GTM 56) “

R. Bott and L. Tu, Differential forms in algebraic topology 

Spaniers “Algebraic Topology”:

Fulton , Algebraic topology:a first course:

Algebraic Topology Homology and Homotopy:

A Concise Course in Algebraic Topology by J.P.May:

Elements of Homotopy Theory by G.W. Whitehead:

Differential Topology

V. Guillemin, A. Pollack, Differential topology

Hirsch, Differential topology:

Geometric Topology

Eliashberg – Introduction to the h-principle

Algebraic Topology

Algebraic Topology, A. Hatcher : (http://www.math.cornell.edu/~hatcher/AT/ATpage.html )

Massey, A basic course in Algebraic topology, “, “Algebraic Topology: An Introduction”(GTM 56) “

R. Bott and L. Tu, Differential forms in algebraic topology

Spaniers “Algebraic Topology” :

Fulton , Algebraic topology : a first course :

Algebraic Topology Homology and Homotopy :

A Concise Course in Algebraic Topology by J.P.May :

Elements of Homotopy Theory by G.W. Whitehead :

Differential Topology

V. Guillemin, A. Pollack, Differential topology

Hirsch, Differential topology :

Geometric Topology

Eliashberg – Introduction to the h-principle