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

Language: English

Published by Springer Us Aug 2002, 2002

1402071736 / 9781402071737

Series: Book 42 of 323 - International Series in Operations Research & Management Science

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Neuware - 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.

Seller Inventory # 9781402071737

Title
Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice
Author
Daniel Bienstock
Publisher
Springer Us Aug 2002
Publication year
2002
Condition
Neu
Binding
Buch
Language
English
ISBN 10
1402071736
ISBN 13
9781402071737
Item weight
383 grams
Dimensions
241x160x13 mm
Series
Book 42 of 323: International Series in Operations Research & Management Science

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

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