Dynamic Programming
eBook - PDF

Dynamic Programming

  1. 378 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Dynamic Programming

About this book

This classic book is an introduction to dynamic programming, presented by the scientist who coined the term and developed the theory in its early stages. In Dynamic Programming, Richard E. Bellman introduces his groundbreaking theory and furnishes a new and versatile mathematical tool for the treatment of many complex problems, both within and outside of the discipline.

The book is written at a moderate mathematical level, requiring only a basic foundation in mathematics, including calculus. The applications formulated and analyzed in such diverse fields as mathematical economics, logistics, scheduling theory, communication theory, and control processes are as relevant today as they were when Bellman first presented them. A new introduction by Stuart Dreyfus reviews Bellman's later work on dynamic programming and identifies important research areas that have profited from the application of Bellman's theory.

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Yes, you can access Dynamic Programming by Richard E. Bellman in PDF and/or ePUB format, as well as other popular books in Mathematics & Computer Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Half-title Page
  3. Title Page
  4. Copyright Page
  5. Dedication Page
  6. Contents
  7. Introduction to the 2010 Edition
  8. Preface
  9. Chapter I. A Multi-Stage Allocation Process
  10. Chapter II. A Stochastic Multi-Stage Decision Process
  11. Chapter III. The Structure of Dynamic Programming Processes
  12. Chapter IV. Existence and Uniqueness Theorems
  13. Chapter V. The Optimal Inventory Equation
  14. Chapter VI. Bottleneck Problems In Multi-Stage Production Processes
  15. Chapter VII. Bottleneck Problems: Examples
  16. Chapter VIII. A Continuous Stochastic Decision Process
  17. Chapter IX. A New Formalism in The Calculus Of Variations
  18. Chapter X. Multi-Stage Games
  19. Chapter XI. Markovian Decision Processes
  20. Index of applications
  21. Name and subject index