Applied Dynamic Programming
1st Edition
Published on 10. May 2016
390 pages
978-1-4008-7465-1 (ISBN)
Description
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.
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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Richard E. Bellman | Stuart E. Dreyfus
Applied Dynamic Programming
Book
04/2016
Princeton University Press
€157.50
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Richard E. Bellman | Stuart E. Dreyfus
Applied Dynamic Programming
Book
12/2015
Princeton University Press
€60.30
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Richard E. Bellman | Stuart E. Dreyfus
Applied Dynamic Programming
Book
07/1962
Princeton University Press
€6.32
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Persons
Richard E. Bellman & Stuart E Dreyfus
Content
Frontmatter, pg. i
Introduction, pg. vii
Contents, pg. xiii
CHAPTER I. One-dimensional Allocation Processes, pg. 1
CHAPTER II. Multidimensional Allocation Processes, pg. 39
CHAPTER III. One-dimensional Smoothing and Scheduling Processes, pg. 103
CHAPTER IV. Optimal Search Techniques, pg. 152
CHAPTER V. Dynamic Programming and the Calculus of Variations, pg. 180
CHAPTER VI. Optimal Trajectories, pg. 207
CHAPTER VII. Multistage Production Processes Utilizing Complexes of Industries, pg. 234
CHAPTER VIII. Feedback Control Processes, pg. 245
CHAPTER IX. Computational Results for Feedback Control Processes, pg. 275
CHAPTER X. Linear Equations and Quadratic Criteria, pg. 285
CHAPTER XI. Markovian Decision Processes, pg. 297
CHAPTER XII. Numerical Analysis, pg. 322
Appendix I. On a Transcendental Curve, pg. 337
Appendix II. A New Approach to the Duality Theory of Mathematical Programming, pg. 340
Appendix III. A Computational Technique Based on Successive Approximations in Policy Space, pg. 348
Appendix IV. On a New Functional Transform in Analysis: The Maximum Transform, pg. 354
Appendix V. The RAND Johnniac Computer, pg. 357
Name Index, pg. 359
Subject Index, pg. 362
Introduction, pg. vii
Contents, pg. xiii
CHAPTER I. One-dimensional Allocation Processes, pg. 1
CHAPTER II. Multidimensional Allocation Processes, pg. 39
CHAPTER III. One-dimensional Smoothing and Scheduling Processes, pg. 103
CHAPTER IV. Optimal Search Techniques, pg. 152
CHAPTER V. Dynamic Programming and the Calculus of Variations, pg. 180
CHAPTER VI. Optimal Trajectories, pg. 207
CHAPTER VII. Multistage Production Processes Utilizing Complexes of Industries, pg. 234
CHAPTER VIII. Feedback Control Processes, pg. 245
CHAPTER IX. Computational Results for Feedback Control Processes, pg. 275
CHAPTER X. Linear Equations and Quadratic Criteria, pg. 285
CHAPTER XI. Markovian Decision Processes, pg. 297
CHAPTER XII. Numerical Analysis, pg. 322
Appendix I. On a Transcendental Curve, pg. 337
Appendix II. A New Approach to the Duality Theory of Mathematical Programming, pg. 340
Appendix III. A Computational Technique Based on Successive Approximations in Policy Space, pg. 348
Appendix IV. On a New Functional Transform in Analysis: The Maximum Transform, pg. 354
Appendix V. The RAND Johnniac Computer, pg. 357
Name Index, pg. 359
Subject Index, pg. 362
