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Stochastic Programming

Modeling Decision Problems Under Uncertainty

Language EnglishEnglish
Book Hardback
Book Stochastic Programming Willem K. Klein Haneveld
Libristo code: 24519557
Publishers Springer, Berlin, November 2019
This book provides an essential introduction to Stochastic Programming, especially intended for grad... Full description
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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.

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About the book

Full name Stochastic Programming
Language English
Binding Book - Hardback
Date of issue 2019
Number of pages 249
EAN 9783030292188
Libristo code 24519557
Publishers Springer, Berlin
Weight 565
Dimensions 155 x 235 x 20
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