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» Sums of squares based approximation algorithms for MAX-SAT
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CP
2009
Springer
14 years 11 months ago
Approximating Weighted Max-SAT Problems by Compensating for Relaxations
We introduce a new approach to approximating weighted Max-SAT problems that is based on simplifying a given instance, and then tightening the approximation. First, we relax its str...
Arthur Choi, Trevor Standley, Adnan Darwiche
WAOA
2005
Springer
163views Algorithms» more  WAOA 2005»
14 years 4 months ago
Improved Approximation Algorithms for MAX NAE-SAT and MAX SAT
MAX SAT and MAX NAE-SAT are central problems in theoretical computer science. We present an approximation algorithm for MAX NAE-SAT with a conjectured performance guarantee of 0.82...
Adi Avidor, Ido Berkovitch, Uri Zwick
DAM
2008
111views more  DAM 2008»
13 years 11 months ago
Sums of squares based approximation algorithms for MAX-SAT
We investigate the Semidefinite Programming based Sums of squares (SOS) decomposition method, designed for global optimization of polynomials, in the context of the (Maximum) Sati...
Hans van Maaren, Linda van Norden, M. J. H. Heule
TCS
2008
13 years 10 months ago
Approximate GCDs of polynomials and sparse SOS relaxations
The problem of computing approximate GCDs of several polynomials with real or complex coefficients can be formulated as computing the minimal perturbation such that the perturbed ...
Bin Li, Jiawang Nie, Lihong Zhi
HYBRID
2007
Springer
14 years 5 months ago
Approximation of the Joint Spectral Radius of a Set of Matrices Using Sum of Squares
We provide an asymptotically tight, computationally efficient approximation of the joint spectral radius of a set of matrices using sum of squares (SOS) programming. The approach i...
Pablo A. Parrilo, Ali Jadbabaie