Potential Function Methods for Approximately Solving Linear Programming Problems Theory and Practice is popular PDF and ePub book, written by Daniel Bienstock in 2013-03-26, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Potential Function Methods for Approximately Solving Linear Programming Problems Theory and Practice can be Read Online from any device for your convenience.
Potential Function Methods for Approximately Solving Linear Programming Problems Theory and Practice Book PDF 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 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.
Detail Book of Potential Function Methods for Approximately Solving Linear Programming Problems Theory and Practice PDF
- Author : Daniel Bienstock
- Release : 26 March 2013
- Publisher : Springer
- ISBN : 1475776713
- Genre : Mathematics
- Total Page : 111 pages
- Language : English
- PDF File Size : 8,7 Mb
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