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Mathematics - Applications | Introduction to Optimization

Introduction to Optimization

Series: Texts in Applied Mathematics, Vol. 46

Pedregal, Pablo

2004, X, 246 p.

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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 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 find this introduction to optimization extremely useful.

Content Level » Lower undergraduate

Keywords » LED - Optimization algorithm - Optimization algorithms - algorithms - linear algebra - linear optimization - nonlinear optimization - optimization

Related subjects » Applications - Electronics & Electrical Engineering - Mathematics - Operations Research & Decision Theory - Theoretical, Mathematical & Computational Physics

Table of contents 

Series Preface*Preface*Introduction*Linear Programming*Nonlinear Programming* Approximation Techniques*Variational Problems and Dynamic Programming*Optimal Control*References*Index

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