Numerical Methods for Stochastic Control Problems in Continuous Time (Hardcover, 2nd ed. 2001)

This book presents a comprehensive development of effective numerical methods for stochastic control problems in continuous time. The process models are diffusions, jump-diffusions, or reflected diffusions of the type that occur in the majority of current applications. All the usual problem formulations are included, as well as those of more recent interest such as ergodic control, singular control and the types of reflected diffusions used as models of queuing networks. Applications to complex deterministic problems are illustrated via application to a large class of problems from the calculus of variations. The general approach is known as the Markov Chain Approximation Method. The required background to stochastic processes is surveyed, there is an extensive development of methods of approximation, and a chapter is devoted to computational techniques. The book is written on two levels, that of practice (algorithms and applications) and that of the mathematical development. Thus the methods and use should be broadly accessible. This update to the first edition will include added material on the control of the 'jump term' and the 'diffusion term.' There will be additional material on the deterministic problems, solving the Hamilton-Jacobi equations, for which the authors' methods are still among the most useful for many classes of problems. All of these topics are of great and growing current interest.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Stochastic Modelling and Applied Probability, 24
Release date:	December 2000
First published:	2001
Authors:	Harold Kushner • Paul G. Dupuis
Dimensions:	235 x 155 x 36mm (L x W x T)
Format:	Hardcover
Pages:	476
Edition:	2nd ed. 2001
ISBN-13:	978-0-387-95139-3
Categories:	Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory Books > Science & Mathematics > Mathematics > Applied mathematics > Stochastics
LSN:	0-387-95139-3
Barcode:	9780387951393

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!