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Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice (Hardcover, 2002 ed.)
Loot Price: R3,084
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Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice (Hardcover, 2002 ed.)
Series: International Series in Operations Research & Management Science, 53
Expected to ship within 10 - 15 working days
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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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