Introduction to Dynamic Programming: International Series in Modern Applied Mathematics and Computer Science, Volume 1

by Leon Cooper, Mary W. Cooper, E. Y. Rodin (Editor)

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.

289 pages, Kindle Edition

Published May 20, 2014

About the author

Leon N. Cooper was an American physicist and professor of Brown University. His name is associated with his work on superconductivity and neuroscience. He proposed the Cooper pair mechanism in 1956 and in 1972 he was awarded the Nobel Prize in Physics with John Bardeen and John Robert Schrieffer for the development of the BCS theory of superconductivity.
In neuroscience, Cooper co-developed the BCM theory of synaptic plasticity.