Solution to Set of SAT Problems
Wanli Zuo
Abstract
Wanli Zuo
Abstract
In practical applications,we always need to resolve a series SAT(Satisfiability Problem) problems which only differ in a few clauses between corresponding CNF(Conjunctive Normal Form) formulas.However,most of current SAT solving algorithms are designed for single SAT problem.An algorithm is proposed which is based on DPLL and can solve a set of SAT problems at a time.Tests on random problems demonstrated that: nDPLL algorithm reflects high efficiency on some CNF formulas;the efficiency of nDPLL is proportional to the size of CNF formulas,close factor and the ratio between the number of clauses and variables.
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In practical applications,we always need to resolve a series SAT(Satisfiability Problem) problems which only differ in a few clauses between corresponding CNF(Conjunctive Normal Form) formulas.However,most of current SAT solving algorithms are designed for single SAT problem.An algorithm is proposed which is based on DPLL and can solve a set of SAT problems at a time.Tests on random problems demonstrated that: nDPLL algorithm reflects high efficiency on some CNF formulas;the efficiency of nDPLL is proportional to the size of CNF formulas,close factor and the ratio between the number of clauses and variables.
Key concepts: DPLL algorithm, Conjunctive normal form, Satisfiability, Set (abstract data type), Boolean satisfiability problem, Series (stratigraphy), Mathematics, Mathematical optimization