Improved algorithms for sparse MAX-SAT and MAX-k-CSP

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Abstract

We give improved deterministic algorithms solving sparse instances of MAX-SAT and MAX-k-CSP. For instances with n variables and cn clauses (constraints), we give algorithms running in time poly(n)· 2n(1−μ) for (Formula presented.) and polynomial space solving MAX-SAT and MAX-k-SAT, (Formula presented.) and exponential space solving MAX-SAT and MAX-k-SAT, (Formula presented.) and polynomial space solving MAX-k-CSP, (Formula presented.) and exponential space solving MAX-k-CSP. The previous MAX-SAT algorithms have savings (Formula presented.) for running in polynomial space [15] and (Formula presented.) for exponential space [5]. We also give an algorithm with improved savings for satisfiability of depth-2 threshold circuits with cn wires.

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Chen, R., & Santhanam, R. (2015). Improved algorithms for sparse MAX-SAT and MAX-k-CSP. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9340, pp. 33–45). Springer Verlag. https://doi.org/10.1007/978-3-319-24318-4_4

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