The primal-dual method for approximation algorithms

被引：0
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作者：
David P. Williamson
机构：
[1] IBM T.J. Watson Research Center and IBM Almaden Research Center,
来源：
Mathematical Programming | 2002年 / 91卷
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摘要：
In this survey, we give an overview of a technique used to design and analyze algorithms that provide approximate solutions to NP-hard problems in combinatorial optimization. Because of parallels with the primal-dual method commonly used in combinatorial optimization, we call it the primal-dual method for approximation algorithms. We show how this technique can be used to derive approximation algorithms for a number of different problems, including network design problems, feedback vertex set problems, and facility location problems.
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页码：447 / 478
页数：31
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