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The Primal-Dual Method for Approximation Algorithms  (Make Corrections)  (4 citations)
David P. Williamson



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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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