Introduction to Optimization / Edition 1

Introduction to Optimization / Edition 1

by Pablo Pedregal
     
 

This undergraduate textbook introduces students of science and engineering to the fascinating field of optimization. It is a unique book that brings together the subfields of mathematical programming, variational calculus, and optimal control, thus giving students an overall view of all aspects of optimization in a single reference. As a primer on optimization, its

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Overview

This undergraduate textbook introduces students of science and engineering to the fascinating field of optimization. It is a unique book that brings together the subfields of mathematical programming, variational calculus, and optimal control, thus giving students an overall view of all aspects of optimization in a single reference. As a primer on optimization, its main goal is to provide a succinct and accessible introduction to linear programming, nonlinear programming, numerical optimization algorithms, variational problems, dynamic programming, and optimal control. Prerequisites have been kept to a minimum, although a basic knowledge of calculus, linear algebra, and differential equations is assumed. There are numerous examples, illustrations, and exercises throughout the text, making it an ideal book for self-study. Applied mathematicians, physicists, engineers, and scientists will all find this introduction to optimization extremely useful.

Product Details

ISBN-13:
9780387403984
Publisher:
Springer New York
Publication date:
11/03/2003
Series:
Texts in Applied Mathematics Series, #46
Edition description:
2004
Pages:
246
Product dimensions:
9.21(w) x 6.14(h) x 0.69(d)

Meet the Author

Table of Contents

Series Preface
Preface
Ch. 1Introduction
Ch. 2Linear Programming
Ch. 3Nonlinear Programming
Ch. 4Approximation Techniques
Ch. 5Variational Problems and Dynamic Programming
Ch. 6Optimal Control
References
Index

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