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: 9781475776720
Price: 2286 CZK
Availability: InStock

Autor: Daniel Bienstock

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer-Verlag New York Inc.

Dostupnost: Skladem u dodavatele

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

Informace o knize

Autor

Daniel Bienstock

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2013

Stránek

111

EAN

9781475776720

ISBN

1475776721

Enbook ID

02175450

Vydavatel

Springer-Verlag New York Inc.

Hmotnost

219

Rozměry

155 x 7 x 8

Kompletní popis

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

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