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

Theory and Practice

Jezik AngleščinaAngleščina
Knjiga Trda
Knjiga Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice Daniel Bienstock
Koda Libristo: 01417808
Založba Springer-Verlag New York Inc., avgust 2002
Potential Function Methods For Approximately Solving Linear Programming Problems breaks new ground i... Celoten opis
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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.

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O knjigi

Polni naslov Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice
Jezik Angleščina
Vezava Knjiga - Trda
Datum izida 2002
Število strani 111
EAN 9781402071737
ISBN 1402071736
Koda Libristo 01417808
Teža 830
Mere 155 x 235 x 12
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