Stochastic Programming: Modeling Decision Problems Under Uncertainty by Willem K. Klein HaneveldEnglish | PDF(Repost),EPUB | 2020 | 255 Pages | ISBN : 3030292185 | 14.6 MB
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.