Eecient Approximation Algorithms for Semideenite Programs Arising from Max Cut and Coloring Eecient Approximation Algorithms for Semideenite Programs Arising from Max Cut and Coloring
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چکیده
The best known approximation algorithm for graph MAX CUT, due to Goemans and Williamson, rst nds the optimal solution a semideenite program and then derives a graph cut from that solution. Building on this result, Karger, Motwani, and Sudan gave an approximation algorithm for graph coloring that also involves solving a semideenite program. Solving these semideenite programs using known methods (ellipsoid, interior-point), though polynomial-time, is quite expensive. We show how they can be approximately solved in ~ O(nm) time for graphs with n nodes and m edges.
منابع مشابه
Eecient Approximation Algorithms for Semideenite Programs Arising from Max Cut and Coloring
The best known approximation algorithm for graph MAX CUT, due to Goemans and Williamson, rst nds the optimal solution of a semideenite program and then derives a graph cut from that solution. Building on this result, Karger, Motwani, and Su-dan gave an approximation algorithm for graph coloring that also involves solving a semideenite program. Solving these semideenite programs using known meth...
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when I joined the Max Planck Institut as a post-doctoral fellow, I have been working at Semideenite Programming and its applications to Approximation Problems. The techniques from Semideenite Programming have proved useful in the design of good approximation algorithms as is evinced by the ground breaking paper of Goemans and Williamson on Max Cut and Max Sat 13]. Since then several researchers...
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