(Enter summary)
Abstract: 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 di#erent problems, including network
design problems, feedback vertex... (Update)
Context of citations to this paper: More
...method of linear programming. Since some approximation algorithms have recently been analyzed in terms of linear programming duality [11, 12], this interpretation may be useful for improving the known bound. Particularly, the dual fitting method [10, 11] seems to fit our...
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BibTeX entry: (Update)
D.P. Williamson, The primal-dual method for approximation algorithms. Mathematical Programming , to appear. 14 http://citeseer.ist.psu.edu/689026.html More
@misc{ williamson-primaldual,
author = "D. Williamson",
title = "The primal-dual method for approximation algorithms",
text = "D.P. Williamson, The primal-dual method for approximation algorithms. Mathematical
Programming , to appear. 14",
url = "citeseer.ist.psu.edu/689026.html" }
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