Semidefinite Programming Based Approximation Algorithms
Uri Zwick6 
| (6) |
School of Computer Science Tel Aviv University, 69978 Tel Aviv, Israel |
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.
Work supported in part by The Israel Science Foundation founded by The Israel Academy of Sciences and Humanities.