語系:
繁體中文
English
日文
簡体中文
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Optimization Methods in Finance.[ele...
~
Cornuejols, Gerard.
Optimization Methods in Finance.[electronic resource].
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
杜威分類號:
332.015196
書名/作者:
Optimization Methods in Finance.
作者:
Cornuejols, Gerard.
其他作者:
Tutuncu, Reha.
出版者:
Leiden : : Cambridge University Press,, 2006.
面頁冊數:
359 p.
標題:
Finance.
ISBN:
9780511753886 (electronic bk.)
ISBN:
9780521861700 (print)
內容註:
Cover; Half-title; Series-title; Title; Copyright; Dedication; Contents; Foreword; 1 Introduction; 2 Linear programming: theory and algorithms; 3 LP models: asset/liability cash-flow matching; 4 LP models: asset pricing and arbitrage; 5 Nonlinear programming: theory and algorithms; 6 NLP models: volatility estimation; 7 Quadratic programming: theory and algorithms; 8 QP models: portfolio optimization; 9 Conic optimization tools; 10 Conic optimization models in finance; 11 Integer programming: theory and algorithms; 12 Integer programming models: constructing an index fund
摘要、提要註:
Discusses optimization problems encountered in financial models, describes the relevant theory and efficient solution methods, and shows how to apply them to practical problems in mathematical finance. Based on a successful course at CMU, the text is class-tested and meets the need for a textbook aimed at financial applications.
電子資源:
Click here to view book
Optimization Methods in Finance.[electronic resource].
Cornuejols, Gerard.
Optimization Methods in Finance.
[electronic resource]. - Leiden :Cambridge University Press,2006. - 359 p.
Cover; Half-title; Series-title; Title; Copyright; Dedication; Contents; Foreword; 1 Introduction; 2 Linear programming: theory and algorithms; 3 LP models: asset/liability cash-flow matching; 4 LP models: asset pricing and arbitrage; 5 Nonlinear programming: theory and algorithms; 6 NLP models: volatility estimation; 7 Quadratic programming: theory and algorithms; 8 QP models: portfolio optimization; 9 Conic optimization tools; 10 Conic optimization models in finance; 11 Integer programming: theory and algorithms; 12 Integer programming models: constructing an index fund
Discusses optimization problems encountered in financial models, describes the relevant theory and efficient solution methods, and shows how to apply them to practical problems in mathematical finance. Based on a successful course at CMU, the text is class-tested and meets the need for a textbook aimed at financial applications.
Electronic reproduction.
Available via World Wide Web.
Mode of access: World Wide Web.
ISBN: 9780511753886 (electronic bk.)Subjects--Topical Terms:
189642
Finance.
Index Terms--Genre/Form:
336502
Electronic books.
LC Class. No.: HG106 .C67 2007eb
Dewey Class. No.: 332.015196
Optimization Methods in Finance.[electronic resource].
LDR
:02231nam a22002893u 4500
001
405850
003
AU-PeEL
005
20090601202845.0
006
m d
007
cr mn---------
008
140714t2006 ||| s |||||||eng|d
020
$a
9780511753886 (electronic bk.)
020
$a
9780521861700 (print)
035
$a
EBL281739
035
$a
EBL281739
040
$a
AU-PeEL
$c
AU-PeEL
$d
AU-PeEL
050
0 0
$a
HG106 .C67 2007eb
082
0 0
$a
332.015196
100
1
$a
Cornuejols, Gerard.
$3
567510
245
1 0
$a
Optimization Methods in Finance.
$h
[electronic resource].
260
$a
Leiden :
$b
Cambridge University Press,
$c
2006.
300
$a
359 p.
505
0
$a
Cover; Half-title; Series-title; Title; Copyright; Dedication; Contents; Foreword; 1 Introduction; 2 Linear programming: theory and algorithms; 3 LP models: asset/liability cash-flow matching; 4 LP models: asset pricing and arbitrage; 5 Nonlinear programming: theory and algorithms; 6 NLP models: volatility estimation; 7 Quadratic programming: theory and algorithms; 8 QP models: portfolio optimization; 9 Conic optimization tools; 10 Conic optimization models in finance; 11 Integer programming: theory and algorithms; 12 Integer programming models: constructing an index fund
505
8
$a
13 Dynamic programming methods14 DP models: option pricing; 15 DP models: structuring asset-backed securities; 16 Stochastic programming: theory and algorithms; 17 Stochastic programming models: Value-at-Risk and Conditional Value-at-Risk; 18 Stochastic programming models: asset/liability management; 19 Robust optimization: theory and tools; 20 Robust optimization models in finance; Appendix A Convexity; Appendix B Cones; Appendix C A probabil
520
$a
Discusses optimization problems encountered in financial models, describes the relevant theory and efficient solution methods, and shows how to apply them to practical problems in mathematical finance. Based on a successful course at CMU, the text is class-tested and meets the need for a textbook aimed at financial applications.
533
$a
Electronic reproduction.
$n
Available via World Wide Web.
538
$a
Mode of access: World Wide Web.
650
4
$a
Finance.
$3
189642
655
7
$a
Electronic books.
$2
local
$3
336502
700
1
$a
Tutuncu, Reha.
$3
567511
710
2
$a
Ebooks Corporation.
$3
380544
776
1
$z
9780521861700
856
4 0
$z
Click here to view book
$u
http://ebooks.cambridge.org/ebook.jsf?bid=CBO9780511753886
筆 0 讀者評論
多媒體
多媒體檔案
http://ebooks.cambridge.org/ebook.jsf?bid=CBO9780511753886
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入