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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

Introduction

 

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.

Keywords

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 https://doi.org/10.1007/b97412
  • 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
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