Description: Stochastic Programming : Modeling Decision Problems Under Uncertainty, Paperback by Haneveld, Willem K. Klein; Van Der Vlerk, Maarten H.; Romeijnders, Ward, ISBN 3030292215, ISBN-13 9783030292218, Brand New, Free shipping in the US
This book provides an essential introduction to Stochastic Programming, especially intended for graduate students. Th 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. Th not only discusses the theoretical properties of these models and algorithms for solving them, but also explains the intrinsic differences between the models. In th’s closing section, several case studies are presented, helping students apply the theory covered to practical problems.
Th 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.Price: 84.93 USD
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Book Title: Stochastic Programming : Modeling Decision Problems under Uncertainty
Number of Pages: Xii, 249 Pages
Language: English
Publisher: Springer International Publishing A&G
Publication Year: 2020
Topic: Probability & Statistics / General, Operations Research, Optimization
Illustrator: Yes
Genre: Mathematics, Business & Economics
Item Weight: 16 Oz
Item Length: 9.3 in
Author: Maarten H. Van Der Vlerk, Willem K. Klein Haneveld, Ward Romeijnders
Book Series: Graduate Texts in Operations Research Ser.
Item Width: 6.1 in
Format: Trade Paperback
