Title
Deterministic Algorithms for k-SAT Based on Covering Codes and Local Search
Abstract
We show that satisfiability of formulas in k-CNF can be decided deterministically in time close to (2k=(k + 1))n, where n is the number of variables in the input formula. This is the best known worstcase upper bound for deterministic k-SAT algorithms. Our algorithm can be viewed as a derandomized version of Schöning's probabilistic algorithm presented in [15]. The key point of our algorithm is the use of covering codes together with local search. Compared to other "weakly exponential" algorithms, our algorithm is technically quite simple. We also show how to improve the bound above by moderate technical effort. For 3-SAT the improved bound is 1:481n.
Year
Venue
Keywords
2000
ICALP
deterministic algorithms,moderate technical effort,local search,weakly exponential,probabilistic algorithm,input formula,time close,key point,deterministic k-sat algorithm,covering codes,derandomized version,upper bound
Field
DocType
Volume
Randomized algorithm,Discrete mathematics,Combinatorics,Exponential function,Upper and lower bounds,Computer science,Satisfiability,Algorithm,Probabilistic analysis of algorithms,Local search (optimization),Deterministic algorithm,Propositional formula
Conference
1853
ISSN
ISBN
Citations 
0302-9743
3-540-67715-1
12
PageRank 
References 
Authors
1.43
11
4
Name
Order
Citations
PageRank
Evgeny Dantsin157649.92
Andreas Goerdt244136.15
Edward A. Hirsch342238.02
Uwe Schöning4998105.69