Introduction to Stochastic Programming John R. Birge and Francois Louveaux is an English-language textbook that focuses on stochastic programming. This book is intended for students and professionals in operations research and optimization who want to delve into decision-making under uncertainty.
The book covers fundamental concepts and methods in stochastic programming and highlights their application in various fields. In this extensively revised edition, new approaches for discrete variables, risk measures in modeling, and Monte Carlo sampling are covered in detail. In addition, there is a new chapter on the relationship to other methods, such as approximate dynamic programming, robust optimization, and online methods.
With clear illustrations, chapter summaries, and many practical examples, this textbook provides a thorough introduction to stochastic programming. It is a valuable resource for students, researchers, and professionals in operations research and related disciplines.
The topic connects with fields such as Operations Research, Optimization, and Business & Economics.
Series: Springer Series in Operations Research and Financial Engineering