Semidefinite programming based approximation algorithms

Uri Zwick*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationFST TCS 2001
Subtitle of host publicationFoundations of Software Technology and Theoretical Computer Science - 21st Conference, Proceedings
EditorsRamesh Hariharan, V. Vinay, Madhavan Mukund
PublisherSpringer Verlag
Pages57
Number of pages1
ISBN (Print)3540430024
DOIs
StatePublished - 2001
Event21st Conference on Foundations of Software Technology and Theoretical Computer Science, FST TCS 2001 - Bangalore, India
Duration: 13 Dec 200115 Dec 2001

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2245
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference21st Conference on Foundations of Software Technology and Theoretical Computer Science, FST TCS 2001
Country/TerritoryIndia
CityBangalore
Period13/12/0115/12/01

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