On the complexity of cutting-plane proofs
Discrete Applied Mathematics
STOC '99 Proceedings of the thirty-first annual ACM symposium on Theory of computing
Elliptic approximations of propositional formulae
Discrete Applied Mathematics - Special issue on the satisfiability problem and Boolean functions
Recognition of tractable satisfiability problems through balanced polynomial representations
Proceedings of the 5th Twente workshop on on Graphs and combinatorial optimization
2+p-SAT: relation of typical-case complexity to the nature of the phase transition
Random Structures & Algorithms - Special issue on statistical physics methods in discrete probability, combinatorics, and theoretical computer science
Rigorous results for random (2 + p)-SAT
Theoretical Computer Science - Phase transitions in combinatorial problems
Approximation algorithms for MAX 4-SAT and rounding procedures for semidefinite programs
Journal of Algorithms
Solving Large-Scale Sparse Semidefinite Programs for Combinatorial Optimization
SIAM Journal on Optimization
Relaxations of the Satisfiability Problem Using Semidefinite Programming
Journal of Automated Reasoning
Derandomizing semidefinite programming based approximation algorithms
FOCS '95 Proceedings of the 36th Annual Symposium on Foundations of Computer Science
A 7/8-Approximation Algorithm for MAX 3SAT?
FOCS '97 Proceedings of the 38th Annual Symposium on Foundations of Computer Science
Initialization in semidefinite programming via a self-dual skew-symmetric embedding
Operations Research Letters
Annals of Mathematics and Artificial Intelligence
The power of semidefinite programming relaxations for MAX-SAT
CPAIOR'06 Proceedings of the Third international conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems
Semidefinite resolution and exactness of semidefinite relaxations for satisfiability
Discrete Applied Mathematics
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Recently, de Klerk, van Maaren and Warners [10] investigated a relaxation of 3-SAT via semidefinite programming. Thus a 3-SAT formula is relaxed to a semidefinite feasibility problem. If the feasibility problem is infeasible then a certificate of unsatisfiability of the formula is obtained. The authors proved that this approach is exact for several polynomially solvable classes of logical formulae, including 2-SAT, pigeonhole formulae and mutilated chessboard formulae. In this paper we further explore this approach, and investigate the strength of the relaxation on (2+ip)-SAT formulae, i.e., formulae with a fraction ip of 3-clauses and a fraction (1−ip) of 2-clauses. In the first instance, we provide an empirical computational evaluation of our approach. Secondly, we establish approximation guarantees of randomized and deterministic rounding schemes when the semidefinite feasibility problem is feasible, and also present computational results for the rounding schemes. In particular, we do a numerical and theoretical comparison of this relaxation and the stronger relaxation by Karloff and Zwick [15].