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Books in English > Economics, Finance, Business & Management > Business & Management > Management & management techniques > Management decision making > Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice

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

Name: Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice
Brand: Springer-Verlag New York Inc.
SKU: 02175450
Price: 114.71 EUR
Availability: InStock
Author: Daniel Bienstock
ISBN: 9781475776720

Daniel Bienstock

Language

English

Book Paperback

Libristo code: 02175450

Publishers Springer-Verlag New York Inc., March 2013

Potential Function Methods For Approximately Solving Linear Programming Problems breaks new ground i... Full description

Libristo code: 02175450

277 b

114.71 €

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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.