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

Author: 


ISBN-13: 

9781402071737


ISBN: 

1402071736


Publisher:  Springer
Summary: 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 rese...arch 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.

Bienstock, Daniel is the author of Potential Function Methods for Approximately Solving Linear Programming Problems Theory and Practice, published under ISBN 9781402071737 and 1402071736. Three hundred fourteen Potential Function Methods for Approximately Solving Linear Programming Problems Theory and Practice textbooks are available for sale on ValoreBooks.com, or buy new starting at $106.79.
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Potential Function Methods for Approximately Solving Linear Programming Problems Theory and Practice

ISBN-13: 9781402071737


ISBN: 1402071736


Publisher: Springer
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