語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Stochastic Programming = Modeling De...
~
Romeijnders, Ward.
Stochastic Programming = Modeling Decision Problems Under Uncertainty /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Stochastic Programming/ by Willem K. Klein Haneveld, Maarten H. van der Vlerk, Ward Romeijnders.
其他題名:
Modeling Decision Problems Under Uncertainty /
作者:
Klein Haneveld, Willem K.
其他作者:
Romeijnders, Ward.
面頁冊數:
XII, 249 p. 27 illus., 1 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Economic Theory/Quantitative Economics/Mathematical Methods. -
電子資源:
https://doi.org/10.1007/978-3-030-29219-5
ISBN:
9783030292195
Stochastic Programming = Modeling Decision Problems Under Uncertainty /
Klein Haneveld, Willem K.
Stochastic Programming
Modeling Decision Problems Under Uncertainty /[electronic resource] :by Willem K. Klein Haneveld, Maarten H. van der Vlerk, Ward Romeijnders. - 1st ed. 2020. - XII, 249 p. 27 illus., 1 illus. in color.online resource. - Graduate Texts in Operations Research,2662-6012. - Graduate Texts in Operations Research,.
Introduction -- Random Objective Functions -- Recourse Models -- Stochastic Mixed-integer Programming -- Chance Constraints -- Integrated Chance Constraints -- Assignments -- Case Studies.
This book provides an essential introduction to Stochastic Programming, especially intended for graduate students. The book begins by exploring a linear programming problem with random parameters, representing a decision problem under uncertainty. Several models for this problem are presented, including the main ones used in Stochastic Programming: recourse models and chance constraint models. The book not only discusses the theoretical properties of these models and algorithms for solving them, but also explains the intrinsic differences between the models. In the book’s closing section, several case studies are presented, helping students apply the theory covered to practical problems. The book is based on lecture notes developed for an Econometrics and Operations Research course for master students at the University of Groningen, the Netherlands - the longest-standing Stochastic Programming course worldwide.
ISBN: 9783030292195
Standard No.: 10.1007/978-3-030-29219-5doiSubjects--Topical Terms:
1069071
Economic Theory/Quantitative Economics/Mathematical Methods.
LC Class. No.: HD30.23
Dewey Class. No.: 658.40301
Stochastic Programming = Modeling Decision Problems Under Uncertainty /
LDR
:02635nam a22004215i 4500
001
1024082
003
DE-He213
005
20200703115301.0
007
cr nn 008mamaa
008
210318s2020 gw | s |||| 0|eng d
020
$a
9783030292195
$9
978-3-030-29219-5
024
7
$a
10.1007/978-3-030-29219-5
$2
doi
035
$a
978-3-030-29219-5
050
4
$a
HD30.23
072
7
$a
KJT
$2
bicssc
072
7
$a
BUS049000
$2
bisacsh
072
7
$a
KJT
$2
thema
072
7
$a
KJMD
$2
thema
082
0 4
$a
658.40301
$2
23
100
1
$a
Klein Haneveld, Willem K.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1320140
245
1 0
$a
Stochastic Programming
$h
[electronic resource] :
$b
Modeling Decision Problems Under Uncertainty /
$c
by Willem K. Klein Haneveld, Maarten H. van der Vlerk, Ward Romeijnders.
250
$a
1st ed. 2020.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2020.
300
$a
XII, 249 p. 27 illus., 1 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
Graduate Texts in Operations Research,
$x
2662-6012
505
0
$a
Introduction -- Random Objective Functions -- Recourse Models -- Stochastic Mixed-integer Programming -- Chance Constraints -- Integrated Chance Constraints -- Assignments -- Case Studies.
520
$a
This book provides an essential introduction to Stochastic Programming, especially intended for graduate students. The book begins by exploring a linear programming problem with random parameters, representing a decision problem under uncertainty. Several models for this problem are presented, including the main ones used in Stochastic Programming: recourse models and chance constraint models. The book not only discusses the theoretical properties of these models and algorithms for solving them, but also explains the intrinsic differences between the models. In the book’s closing section, several case studies are presented, helping students apply the theory covered to practical problems. The book is based on lecture notes developed for an Econometrics and Operations Research course for master students at the University of Groningen, the Netherlands - the longest-standing Stochastic Programming course worldwide.
650
2 4
$a
Economic Theory/Quantitative Economics/Mathematical Methods.
$3
1069071
650
2 4
$a
Optimization.
$3
669174
650
2 4
$a
Probability Theory and Stochastic Processes.
$3
593945
650
1 4
$a
Operations Research/Decision Theory.
$3
669176
650
0
$a
Economic theory.
$3
809881
650
0
$a
Mathematical optimization.
$3
527675
650
0
$a
Probabilities.
$3
527847
650
0
$a
Decision making.
$3
528319
650
0
$a
Operations research.
$3
573517
700
1
$a
Romeijnders, Ward.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1320142
700
1
$a
van der Vlerk, Maarten H.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1320141
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783030292188
776
0 8
$i
Printed edition:
$z
9783030292201
776
0 8
$i
Printed edition:
$z
9783030292218
830
0
$a
Graduate Texts in Operations Research,
$x
2662-6012
$3
1315216
856
4 0
$u
https://doi.org/10.1007/978-3-030-29219-5
912
$a
ZDB-2-BUM
912
$a
ZDB-2-SXBM
950
$a
Business and Management (SpringerNature-41169)
950
$a
Business and Management (R0) (SpringerNature-43719)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入