This volume collects papers, based on invited talks given at the IMA workshop in Modeling, Stochastic Control, Optimization, and Related Applications, held at t
Stochastic optimization problems arise in decision-making problems under uncertainty, and find various applications in economics and finance. On the other hand,
"Constructive Computation in Stochastic Models with Applications: The RG-Factorizations" provides a unified, constructive and algorithmic framework for numerica
Consisting of two parts, this book presents papers describing publicly available stochastic programming systems that are operational. It presents a diverse coll
This book examines optimization problems that in practice involve random model parameters. It details the computation of robust optimal solutions, i.e., optimal