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

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

by Daniel Bienstock

Paperback(Softcover reprint of the original 1st ed. 2002)

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Overview

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

As an alternative to the traditional focus in optimization research with linear programming algorithms of solving problems to some finite accuracy, or on trading accuracy for speed, Bienstock (IEOR, Columbia U., NY) presents an approach which seeks to develop provably good approximation algorithms. He presents its theoretical basis in mathematical programming, some philosophical points, and issues and network design models in recent computational developments and experiments. Several frequently asked, somewhat pointed questions are appended. Annotation (c)2003 Book News, Inc., Portland, OR

Product Details

ISBN-13: 9781475776720
Publisher: Springer US
Publication date: 03/17/2013
Series: International Series in Operations Research & Management Science , #53
Edition description: Softcover reprint of the original 1st ed. 2002
Pages: 111
Product dimensions: 6.10(w) x 9.25(h) x 0.01(d)

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