Introduction to Dynamic Programming
eBook - PDF

Introduction to Dynamic Programming

International Series in Modern Applied Mathematics and Computer Science, Volume 1

  1. 300 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Introduction to Dynamic Programming

International Series in Modern Applied Mathematics and Computer Science, Volume 1

About this book

Introduction to Dynamic Programming provides information pertinent to the fundamental aspects of dynamic programming. This book considers problems that can be quantitatively formulated and deals with mathematical models of situations or phenomena that exists in the real world. Organized into 10 chapters, this book begins with an overview of the fundamental components of any mathematical optimization model. This text then presents the details of the application of dynamic programming to variational problems. Other chapters consider the application of dynamic programming to inventory theory, Markov processes, chemical engineering, optimal control theory, calculus of variations, and economics. This book discusses as well the approach to problem solving that is typical of dynamic programming. The final chapter deals with a number of actual applications of dynamic programming to practical problems. This book is a valuable resource for.graduate level students of mathematics, economics, statistics, business, operations research, industrial engineering, or other engineering fields.

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Yes, you can access Introduction to Dynamic Programming by Leon Cooper,Mary W. Cooper, E. Y. Rodin in PDF and/or ePUB format, as well as other popular books in Mathematics & Applied Mathematics. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Front Cover
  2. Introduction to Dynamic Programming
  3. Copyright Page
  4. Table of Contents
  5. Preface
  6. Chapter 1. Introduction
  7. Chapter 2. Some Simple Examples
  8. Chapter 3. Functional Equations: Basic Theory
  9. Chapter 4. One-dimensional Dynamic Programming: Analytic Solutions
  10. Chapter 5. One-dimensional Dynamic Programming: Computational Solutions
  11. Chapter 6. Multidimensional Problems
  12. Chapter 7. Reduction of State Dimensionality and Approximations
  13. Chapter 8. Stochastic Processes and Dynamic Programming
  14. Chapter 9. Dynamic Programming and the Calculus of Variations
  15. Chapter 10. Applications of Dynamic Programming
  16. Appendix. Sets, Convexity, and n-Dimensional Geometry
  17. References
  18. Index