An Information-Based Approximation Scheme for Stochastic Optimization Problems in Continuous Time

Daniel Kuhn

Abstract: Dynamic stochastic optimization problems with a large (possibly infinite) number of decision stages and high-dimensional state vectors are inherently difficult to solve. In fact, scenario tree-base...