Dynamic Programming and Stochastic Control

Catalog description

This course covers fundamental models and solution techniques for sequential decision making under uncertainty. Both exact and approximation methods will be discussed. Applications of dynamic programming will be drawn from engineering, economics, operations management, and finance.