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Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice (International Series in Operations Research & Management Science #53) book cover by Daniel Bienstock
Paperback

Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice (International Series in Operations Research & Management Science #53)

by Daniel Bienstock

$96.79 / copy at 25+ copies As low as $94.59 at 100+Your best volume price

Total $2,419.75

Paperback · 111 pages Springer US · 2013

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About the book

Potential Function Methods for Approximately Solving Linear Programming Problems

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.

The book, Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice (International Series in Operations Research & Management Science #53) [Bulk, Wholesale, Quantity] ISBN#9781475776720 in Paperback by Daniel Bienstock may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.

Details

Publisher
Springer US
Author
Daniel Bienstock
Format
Paperback
Published
Mar 17, 2013
ISBN-13
9781475776720
Pages
111
Printing
Printed on demand
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