Stochastic optimization problems arise in decision-making problems under uncertainty, and find various applications in economics and finance. On the other hand,

This volume collects papers, based on invited talks given at the IMA workshop in Modeling, Stochastic Control, Optimization, and Related Applications, held at t

This volume provides a general overview of discrete- and continuous-time Markov control processes and stochastic games, along with a look at the range of applic

Since its origins in the 1940s, the subject of decision making under uncertainty has grown into a diversified area with application in several branches of engin

As is well known, Pontryagin's maximum principle and Bellman's dynamic programming are the two principal and most commonly used approaches in solving stochastic