Introduction to Stochastic Dynamic Programming

$31.95

This book introduces the theory and applications of stochastic dynamic programming for students studying advanced mathematics and computer programming.

Introduction to Stochastic Dynamic Programming
Introduction to Stochastic Dynamic Programming
$31.95

[wpforms id=”1190″ title=”true” description=”Request a call back”]

Introduction to Stochastic Dynamic Programming presents the basic theory and examines the scope of applications of stochastic dynamic programming.The book begins with a chapter on various finite-stage models, illustrating the wide range of applications of stochastic dynamic programming. Subsequent chapters study infinite-stage discounting future returns, minimizing nonnegative costs, maximizing nonnegative returns, and maximizing the long-run average return. Each of these chapters first considers whether an optimal policy need exist–providing counterexamples where appropriate–and then presents methods for obtaining such policies when they do. In addition, general areas of application are presented.The final two chapters are concerned with more specialized models. These include stochastic scheduling models and a type of process known as a multiproject bandit. The mathematical prerequisites for this text are relatively few. No prior knowledge of dynamic programming is assumed and only a moderate familiarity with probability– including the use of conditional expectation–is necessary.

Additional information

Dimensions 15.2 × 1 × 23.5 in

Reviews

There are no reviews yet.

Be the first to review “Introduction to Stochastic Dynamic Programming”

Your email address will not be published. Required fields are marked *