This volume provides a general overview of discrete- and continuous-time Markov control processes and shastic games, along with a look at the range of applications of shastic control and some of its recent theoretical developments. These topics include various aspects of dynamic programming, approximation algorithms, and infinite-dimensional linear programming. In all, the work comprises 18 carefully selected papers written by experts in their respective fields.
Optimization, Control, and Applications of Shastic Systems
will be a valuable resource for all practitioners, researchers, and professionals in applied mathematics and operations research who work in the areas of shastic control, mathematical finance, queueing theory, and inventory systems. It may also serve as a supplemental text for graduate courses in optimal control and dynamic games.