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Applied Optimization

Practical Mathematical Optimization

An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms

Authors: Snyman, Jan A

Buy this book

eBook 59,49 €
price for Spain (gross)
  • ISBN 978-0-387-24349-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 72,79 €
price for Spain (gross)
  • ISBN 978-0-387-29824-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this Textbook

This book presents basic optimization principles and gradient-based algorithms to a general audience, in a brief and easy-to-read form without neglecting rigour. The work should enable the professional to apply optimization theory and algorithms to his own particular practical field of interest, be it engineering, physics, chemistry, or business economics. Most importantly, for the first time in a relatively brief and introductory work, due attention is paid to the difficulties—such as noise, discontinuities, expense of function evaluations, and the existence of multiple minima—that often unnecessarily inhibit the use of gradient-based methods. In a separate chapter on new gradient-based methods developed by the author and his coworkers, it is shown how these difficulties may be overcome without losing the desirable features of classical gradient-based methods.

 Audience

It is intended that this book be used in senior- to graduate-level semester courses in optimization, as offered in mathematics, engineering, computer science, and operations research departments, and also to be useful to practising professionals in the workplace.

Table of contents (6 chapters)

  • Introduction

    Pages 1-32

  • Line Search Descent Methods for Unconstrained Minimization

    Pages 33-55

    Preview Buy Chapter 30,19 €
  • Standard Methods for Constrained Optimization

    Pages 57-96

  • New Gradient-Based Trajectory and Approximation Methods

    Pages 97-150

    Preview Buy Chapter 30,19 €
  • Example Problems

    Pages 151-205

Buy this book

eBook 59,49 €
price for Spain (gross)
  • ISBN 978-0-387-24349-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 72,79 €
price for Spain (gross)
  • ISBN 978-0-387-29824-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Practical Mathematical Optimization
Book Subtitle
An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms
Authors
Series Title
Applied Optimization
Series Volume
97
Copyright
2005
Publisher
Springer US
Copyright Holder
Springer-Verlag US
eBook ISBN
978-0-387-24349-8
DOI
10.1007/b105200
Softcover ISBN
978-0-387-29824-5
Series ISSN
1384-6485
Edition Number
1
Number of Pages
XX, 258
Topics