Contents

**Preface XI**


Preface

optimization and dynamic programming.

some knowledge of Bayesian models.

Dynamic programming and Bayesian inference have been both intensively and extensively developed during recent years. Because of these developments, interest in dynamic pro‐ gramming and Bayesian inference and their applications has greatly increased at all mathe‐ matical levels. The purpose of this book is to provide some applications of Bayesian

The book focuses on a clear presentation of the main concepts and results, different models of optimization, with particular emphasis on dynamic programming and Bayesian models. It provides a description of basic material on dynamic programming and Bayesian infer‐

Throughout the book, the chapters concentrate on concepts, rather than mathematical detail, but every effort has been made to present the key theoretical results in as precise and rigor‐

Prerequisites for the book are some familiarity with concept of dynamic programming, and

**Mohammad Saber Fallah Nezhad**

Yazd University, Iran

Associate Professor of Industrial Engineering,

ence, as well as more recent developments in optimization models.

ous a manner as possible, consistent with the overall level of the book.
