Stochastic ProgrammingModeling Decision Problems Under Uncertainty\nAuthor(s): Willem K. Klein Haneveld, Maarten H. van der Vlerk, Ward Romeijnders\nFormat: Paperback\nPublisher: Springer Nature Switzerland AG, Switzerland\nImprint: Springer Nature Switzerland AG\nISBN-13: 9783030292218, 978-3030292218\nSynopsis\nThis 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 books closing section, several case studies are presented, helping students apply the theory covered to practic.