Merging techniques for combinatorial optimization: Spectral Graph Theory and Semidefinite Programming
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Merging techniques for combinatorial optimization: Spectral Graph Theory and Semidefinite Programming
The talk focuses on expander graphs in conjunction with the combined use of SDPs and eigenvalue techniques for approximating optimal solutions to combinatorial optimization problems. In the first part of the talk I will explain how to construct cost-effective, expanding networks by using “local” sparsifiers of graphs that emerge as a ...
Oct 31, 2009
Semidefinite Programming Applications
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