maximum 2-CNF SATmaximum cutapproximation algorithmA parallel approximation algorithm for the MAXIMUM 2-CNF SATISFIABILITY problem is presented. This algorithm runs in O(log2(n + |F|)) parallel time on a CREW PRAM machine using O(n + |F|) processors, where n is the number of variables ...
We study random instances of the weighted $d$-CNF satisfiability problem (WEIGHTED $d$-SAT), a generic W[1]-complete problem. A random instance of the problem consists of a fixed parameter $k$ and a random $d$-CNF formula $\weicnf{n}{p}{k, d}$ generated
In this paper, we take the initiative to study the power of data reductions in the context of random instances of a generic intractable parameterized problem, the weighted d-CNF satisfiability problem. We propose a non-trivial random model for the problem and study the probabilistic behavior of ...
How to solve CNF encodings for satisfiability... Learn more about solve, symbolic, if statement MATLAB
Maaren, H.V., Norden, L.V.: Correlations between horn fractions, satisfiability and solver performance for fixed density random 3-cnf instances. Annals of Math- ematics and Artificial Intelligence 44 (2005) 157- 177Maaren, H.V., Norden, L.V.: Correlations between horn fractions, ...
We describe an algorithm to solve the problem of Boolean CNF-Satisfiability when the input formula is chosen randomly. We build upon the algorithms of Sch??ning 1999 and Dantsin et al. in 2002. The Sch??ning algorithm works by trying many possible random assignments, and for each one ...
Satisfiability problemCNF formulasLinear equationsFast exponential algorithmsAlgorithmica - We introduce the problem of finding a satisfying assignment to a CNF formula that must further belong to a prescribed input subspace. Equivalent formulations of the problem include......
The purpose of this paper is to speed up the local search algorithm for CNF Satisfiability problem by implementation techniques and parallelization. We selected GSAT by Selman and Kautz and attempted speedup by the following techniques: (i) An improvement of the data structure of Selman and Kautz...
Porschen, S., Speckenmeyer, E., Zhao, X.: Linear cnf formulas and satisfiability. Discrete Appl. Math. 157(5) (2009) 1046-1068S.Porschen,E.Speckenmeyer,X.Zhao."Linear CNF formulas and satisfiability". Discrete Applied Mathematics . 2009...
Gao, Y.: Data reductions, fixed parameter tractability, and random weighted d-CNF satisfiability. Artificial Intelligence 173(14), 1343–1366 (2009) MATH MathSciNetGao, Y.: Data reductions, fixed parameter tractability, and random weighted d-CNF satisfiability. Artificial Intelligence 173(14)...