DSAICCFeb 26, 2014

Solving MaxSAT and #SAT on structured CNF formulas

arXiv:1402.6485v119 citations
AI Analysis

This provides incremental improvements for researchers in computational complexity and SAT solving by enabling faster solutions for certain structured instances, though it does not broadly solve all cases.

The paper tackles the problem of solving weighted MaxSAT and #SAT efficiently for structured CNF formulas by introducing a new structural parameter called ps-width, based on precisely satisfiable sets and branch decompositions. It results in polynomial-time algorithms, such as O(m^2(m + n)s) for formulas with specific variable-clause orderings, even when incidence graphs lack bounded clique-width.

In this paper we propose a structural parameter of CNF formulas and use it to identify instances of weighted MaxSAT and #SAT that can be solved in polynomial time. Given a CNF formula we say that a set of clauses is precisely satisfiable if there is some complete assignment satisfying these clauses only. Let the ps-value of the formula be the number of precisely satisfiable sets of clauses. Applying the notion of branch decompositions to CNF formulas and using ps-value as cut function, we define the ps-width of a formula. For a formula given with a decomposition of polynomial ps-width we show dynamic programming algorithms solving weighted MaxSAT and #SAT in polynomial time. Combining with results of 'Belmonte and Vatshelle, Graph classes with structured neighborhoods and algorithmic applications, Theor. Comput. Sci. 511: 54-65 (2013)' we get polynomial-time algorithms solving weighted MaxSAT and #SAT for some classes of structured CNF formulas. For example, we get $O(m^2(m + n)s)$ algorithms for formulas $F$ of $m$ clauses and $n$ variables and size $s$, if $F$ has a linear ordering of the variables and clauses such that for any variable $x$ occurring in clause $C$, if $x$ appears before $C$ then any variable between them also occurs in $C$, and if $C$ appears before $x$ then $x$ occurs also in any clause between them. Note that the class of incidence graphs of such formulas do not have bounded clique-width.

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