Deterministic Optimal Control; Viscosity Solutions; Optimal Control of Markov Processes: Classical Solutions; Controlled Markov Diffusions in Rn; Viscosity Solutions: Second-Order Case; Logarithmic Transformations and Risk Sensitivity; Singular Perturbations; Singular Stochastic Control; Finite Difference Numerical Approximations; Applications to Finance; Differential Games
Summary
Presents an introduction to optimal stochastic control for continuous time Markov processes and the theory of viscosity solutions. This book covers dynamic programming for deterministic optimal control problems, as well as to the corresponding theory of viscosity solutions
Bibliography
Includes bibliographical references (pages 409-423) and index