ACM Home Page
Please provide us with feedback. Feedback
Tight integrality gaps for Lovasz-Schrijver LP relaxations of vertex cover and max cut
Full text PdfPdf (251 KB)
Source
Annual ACM Symposium on Theory of Computing archive
Proceedings of the thirty-ninth annual ACM symposium on Theory of computing table of contents
San Diego, California, USA
SESSION: Session 7A table of contents
Pages: 302 - 310  
Year of Publication: 2007
ISBN:978-1-59593-631-8
Authors
Grant Schoenebeck  UC Berkeley, Berkeley, CA
Luca Trevisan  UC Berkeley, Berkeley, CA
Madhur Tulsiani  UC Berkeley, Berkeley, CA
Sponsors
ACM: Association for Computing Machinery
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 11,   Downloads (12 Months): 78,   Citation Count: 3
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1250790.1250836
What is a DOI?

ABSTRACT

We study linear programming relaxations of Vertex Cover and Max Cutarising from repeated applications of the "lift-and-project" method of Lovasz and Schrijver starting from the standard linear programming relaxation.

For Vertex Cover, Arora, Bollobas, Lovasz and Tourlakis prove thatthe integrality gap remains at least 2-ε after Ωε(log n) rounds, where n is the number ofvertices, and Tourlakis proves that integrality gap remains at least 1.5-ε after Ω((log n)2) rounds. Fernandez de laVega and Kenyon prove that the integrality gap of Max Cut is at most 12 + ε after any constant number of rounds. (Theirresult also applies to the more powerful Sherali-Adams method.

We prove that the integrality gap of Vertex Cover remains at least 2-ε after Ωε (n) rounds, and that theintegrality gap of Max Cut remains at most 1/2 +ε after Ωε(n) rounds.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
 
2
S. Arora, B. Bollobás, L. Lovász, and I. Tourlakis. Proving integrality gaps without knowing the linear program. Theory of Computing, 2(2):19--51, 2006.
 
3
I. Dinur and S. Safra. On the hardness of approximating minimum vertex-cover. Annals of Mathematics, 162(1):439--486, 2005.
 
4
W. Fernandez de la Vega and C. Kenyon-Mathieu. Linear programming relaxations of Maxcut. In Proceedings of the 17th ACM-SIAM Symposium on Discrete Algorithms, 2007. To appear.
5
 
6
S. Khot and O. Regev. Vertex cover might be hard to approximate to within 2-ε. In Proceedings of the 18th IEEE Conference on Computational Complexity, 2003.
 
7
L. Lovasz and A. Schrijver. Cones of matrices and set-functions and 0-1 optimization. SIAM J. on Optimization, 1(12):166--190, 1991.
 
8
G. Schoenebeck, L. Trevisan, and M. Tulsiani. Tight integrality gaps for lovasz-schrijver lp relaxations of vertex cover and max cut. Technical Report TR06-132, Electronic Colloquium on Computational Complexity, 2006.
 
9
 
10


Collaborative Colleagues:
Grant Schoenebeck: colleagues
Luca Trevisan: colleagues
Madhur Tulsiani: colleagues