This rapidly developing field encompasses many disciplines including operations research, mathematics, and probability. Conversely, it is being applied in a wid
The aim of stochastic programming is to find optimal decisions in problems which involve uncertain data. This field is currently developing rapidly with contrib
Introduction to Stochastic Dynamic Programming presents the basic theory and examines the scope of applications of stochastic dynamic programming. The book begi
This book provides an essential introduction to Stochastic Programming, especially intended for graduate students. The book begins by exploring a linear program
Optimization problems involving stochastic models occur in almost all areas of science and engineering, such as telecommunications, medicine, and finance. Their