Introduction to Optimization

  • Pablo Pedregal

Part of the Texts in Applied Mathematics book series (TAM, volume 46)

Table of contents

  1. Front Matter
    Pages i-x
  2. Pablo Pedregal
    Pages 1-21
  3. Pablo Pedregal
    Pages 23-66
  4. Pablo Pedregal
    Pages 67-110
  5. Pablo Pedregal
    Pages 111-135
  6. Pablo Pedregal
    Pages 137-194
  7. Pablo Pedregal
    Pages 195-236
  8. Back Matter
    Pages 237-246

About this book



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.


LED Optimization algorithm Optimization algorithms algorithms linear algebra linear optimization nonlinear optimization optimization

Authors and affiliations

  • Pablo Pedregal
    • 1
  1. 1.ETSI IndustrialesUniversidad de Castilla-La ManchaCiudad RealSpain

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media New York 2004
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4419-2334-9
  • Online ISBN 978-0-387-21680-5
  • Series Print ISSN 0939-2475
  • Series Online ISSN 2196-9949
  • Buy this book on publisher's site