FSTTCS 2001: FST TCS 2001: Foundations of Software Technology and Theoretical Computer Science pp 57-57 | Cite as
Semidefinite Programming Based Approximation Algorithms
Conference paper
First Online:
Abstract
The talk would describe the use of semidefinite programming in the development of approximation algorithms for combinatorial optimization problems. The talk would start with a definition of semidefinite programming. No prior knowledge of the subject would be assumed. It would then briefly cover Lovász’s ϑ-function, the MAX CUT approximation algorithm of Goemans and Williamson, the coloring algorithm of Karger, Motwani and Sudan, the MAX 3-SAT algorithm of Karloff and Zwick, and time permitting more modern developments.
Keywords
Operating System Prior Knowledge Approximation Algorithm Mathematical Logic Combinatorial Optimization
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Copyright information
© Springer-Verlag Berlin Heidelberg 2001