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Catalogue Information
Field name	Details
Dewey Class	515.64
Title	Potential Function Methods for Approximately Solving Linear Programming Problems ([EBook] :) : Theory and Practice / / by Daniel Bienstock.
Author	Bienstock, Daniel
Other name(s)	SpringerLink (Online service)
Publication	Boston, MA : : Springer US, , 2002.
Physical Details	XIX, 111 p. : online resource.
Series	International Series in Operations Research & Management Science 0884-8289 ; ; 53
ISBN	9780306476266
Summary Note	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.:
Contents note	Early Algorithms -- The Exponential Potential Function - key Ideas -- Recent Developments -- Computational Experiments Using the Exponential Potential Function Framework.
System details note	Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)
Internet Site	http://dx.doi.org/10.1007/b115460
Links to Related Works	Subject References: Calculus of variations . Calculus of variations and optimal control; optimization . Decision making . Management science . Mathematical optimization . Mathematics . Operation Research/Decision Theory . Operations research . Operations Research, Management Science . Optimization . Authors: Bienstock, Daniel . Corporate Authors: SpringerLink (Online service) . Series: International Series in Operations Research & Management Science . Classification: 515.64 .

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

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