Applied Dynamic Programming
eBook - PDF

Applied Dynamic Programming

  1. 390 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Applied Dynamic Programming

About this book

This comprehensive study of dynamic programming applied to numerical solution of optimization problems. It will interest aerodynamic, control, and industrial engineers, numerical analysts, and computer specialists, applied mathematicians, economists, and operations and systems analysts.

Originally published in 1962.

The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.

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

Table of contents

  1. Cover
  2. Contents
  3. Introduction
  4. I One-Dimensional Allocation Processes
  5. II Multidimensional Allocation Processes
  6. III One-Dimensional Smoothing and Scheduling Processes
  7. IV Optimal Search Techniques
  8. V Dynamic Programming and the Calculus of Variations
  9. VI Optimal Trajectories
  10. VII Multistage Production Processes Utilizing Complexes of Industries
  11. VIII Feedback Control Processes
  12. IX Computational Results For Feedback Control Processes
  13. X Linear Equations and Quadratic Criteria
  14. XI Markovian Decision Processes
  15. XII Numerical Analysis
  16. Appendix I: On a Transcendental Curve, By O. Gross
  17. Appendix II: A New Approach to the Duality Theory of Mathematical Programming, By S. Dreyfus and M. Freimer
  18. Appendix III: A Computational Technique Based on Successive Approximations in Policy Space, By S. Dreyfus
  19. Appendix IV: On a New Functional Transform in Analysis: The Maximum Transform, By R. Bellman and W. Karush
  20. Appendix V: The RAND Johnniac Computer, By S. Dreyfus
  21. Name Index
  22. S ubject Index
  23. Other Rand Books