While there are several texts on how to solve and analyze stochastic programs, this is the first text to address basic questions about how to model uncertainty,

An accessible and rigorous presentation of contemporary models and ideas of stochastic programming, this book focuses on optimization problems involving uncerta

This book provides an essential introduction to Stochastic Programming, especially intended for graduate students. The book begins by exploring a linear program

This rapidly developing field encompasses many disciplines including operations research, mathematics, and probability. Conversely, it is being applied in a wid

Stochastic models are everywhere. In manufacturing, queuing models are used for modeling production processes, realistic inventory models are stochastic in natu