Solving hybrid Boolean constraints in continuous space via multilinear Fourier expansions
作者:
摘要
The Boolean SATisfiability problem (SAT) is of central importance in computer science. Although SAT is known to be NP-complete, progress on the engineering side—especially that of Conflict-Driven Clause Learning (CDCL) and Local Search SAT solvers—has been remarkable. Yet, while SAT solvers, aimed at solving industrial-scale benchmarks in Conjunctive Normal Form (CNF), have become quite mature, SAT solvers that are effective on other types of constraints (e.g., cardinality constraints and XORs) are less well-studied; a general approach to handling non-CNF constraints is still lacking.
论文关键词:SAT solving,Multilinear optimization,Fourier analysis on Boolean functions,Walsh-Hadamard transform
论文评审过程:Received 8 June 2020, Revised 17 July 2021, Accepted 19 July 2021, Available online 27 July 2021, Version of Record 30 July 2021.
论文官网地址:https://doi.org/10.1016/j.artint.2021.103559