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on1125341535 |
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OCoLC |
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20241006213017.0 |
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m o d |
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cr cnu|||unuuu |
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191030s2020 gw a ob 001 0 eng d |
| 040 |
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|a GW5XE
|b eng
|e rda
|e pn
|c GW5XE
|d LQU
|d UKMGB
|d OCLCF
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|d OCLCQ
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|a GBB9I4423
|2 bnb
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| 016 |
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|a 019596024
|2 Uk
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| 019 |
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|a 1125999895
|a 1126607151
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| 020 |
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|a 9783030292195
|q (electronic bk.)
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| 020 |
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|a 3030292193
|q (electronic bk.)
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| 020 |
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|z 9783030292188
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| 024 |
7 |
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|a 10.1007/978-3-030-29219-5
|2 doi
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| 024 |
8 |
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|a 10.1007/978-3-030-29
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| 035 |
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|a (OCoLC)1125341535
|z (OCoLC)1125999895
|z (OCoLC)1126607151
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| 037 |
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|a com.springer.onix.9783030292195
|b Springer Nature
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| 050 |
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4 |
|a T57.79
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| 049 |
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|a HCDD
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| 100 |
1 |
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|a Klein Haneveld, Willem K.,
|d 1944-
|e author.
|1 https://id.oclc.org/worldcat/entity/E39PBJwhyFfV7TppRcTmtD9hpP
|
| 245 |
1 |
0 |
|a Stochastic programming :
|b modeling decision problems under uncertainty /
|c Willem K. Klein Haneveld, Maarten H. van der Vlerk, Ward Romeijnders.
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| 264 |
|
1 |
|a Cham, Switzerland :
|b Springer,
|c [2020]
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| 300 |
|
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|a 1 online resource (xii, 249 pages) :
|b illustrations
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| 336 |
|
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 490 |
1 |
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|a Graduate texts in operations research
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| 504 |
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|a Includes bibliographical references and index.
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| 520 |
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|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.
|
| 588 |
0 |
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|a Online resource; title from PDF title page (SpringerLink, viewed October 30, 2019).
|
| 505 |
0 |
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|a Introduction -- Random Objective Functions -- Recourse Models -- Stochastic Mixed-integer Programming -- Chance Constraints -- Integrated Chance Constraints -- Assignments -- Case Studies.
|
| 650 |
|
0 |
|a Stochastic programming
|v Textbooks.
|
| 650 |
|
0 |
|a Decision making
|v Textbooks.
|
| 650 |
|
7 |
|a Decision making
|2 fast
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| 650 |
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7 |
|a Stochastic programming
|2 fast
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| 655 |
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7 |
|a Textbooks
|2 fast
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| 655 |
|
7 |
|a Textbooks.
|2 lcgft
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| 700 |
1 |
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|a Vlerk, Maarten H. van der,
|e author.
|
| 700 |
1 |
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|a Romeijnders, Ward,
|e author.
|
| 758 |
|
|
|i has work:
|a Stochastic programming (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCGFHBw96km3dwGJ7cmTbVC
|4 https://id.oclc.org/worldcat/ontology/hasWork
|
| 830 |
|
0 |
|a Graduate texts in operations research.
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-3-030-29219-5
|y Click for online access
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| 903 |
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|a SPRING-BUS2020
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| 994 |
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|a 92
|b HCD
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