International Series in Operations Research & Management Science

Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice

Authors: Bienstock, Daniel

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eBook $149.00
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  • ISBN 978-0-306-47626-6
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About this book

Potential Function Methods For Approximately Solving Linear Programming Problems breaks new ground in linear programming theory. The book draws on the research developments in three broad areas: linear and integer programming, numerical analysis, and the computational architectures which enable speedy, high-level algorithm design. During the last ten years, a new body of research within the field of optimization research has emerged, which seeks to develop good approximation algorithms for classes of linear programming problems. This work both has roots in fundamental areas of mathematical programming and is also framed in the context of the modern theory of algorithms. The result of this work, in which Daniel Bienstock has been very much involved, has been a family of algorithms with solid theoretical foundations and with growing experimental success. This book will examine these algorithms, starting with some of the very earliest examples, and through the latest theoretical and computational developments.

Table of contents (4 chapters)

Buy this book

eBook $149.00
price for USA (gross)
  • ISBN 978-0-306-47626-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $199.00
price for USA
  • ISBN 978-1-4020-7173-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $199.00
price for USA
  • ISBN 978-1-4757-7672-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice
Authors
Series Title
International Series in Operations Research & Management Science
Series Volume
53
Copyright
2002
Publisher
Springer US
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-0-306-47626-6
DOI
10.1007/b115460
Hardcover ISBN
978-1-4020-7173-7
Softcover ISBN
978-1-4757-7672-0
Series ISSN
0884-8289
Edition Number
1
Number of Pages
XIX, 111
Topics