An Improved Deterministic SAT Algorithm for Small De Morgan Formulas

Abstract

We give a deterministic #SAT algorithm for de Morgan formulas of size up to n 2.63, which runs in time TeX . This improves upon the deterministic #SAT algorithm of [3], which has similar running time but works only for formulas of size less than n 2.5.Our new algorithm is based on the shrinkage of de Morgan formulas under random restrictions, shown by Paterson and Zwick [12]. We prove a concentrated and constructive version of their shrinkage result. Namely, we give a deterministic polynomial-time algorithm that selects variables in a given de Morgan formula so that, with high probability over the random assignments to the chosen variables, the original formula shrinks in size, when simplified using a deterministic polynomial-time formula-simplification algorithm

Similar works

This paper was published in Edinburgh Research Explorer.

Having an issue?

Is data on this page outdated, violates copyrights or anything else? Report the problem now and we will take corresponding actions after reviewing your request.

Licence: info:eu-repo/semantics/openAccess