Introduction to SAT-SOLVERS
A SAT-SOLVERS is an algorithm or software program designed to solve the BOOLEAN-SATISFIABILITY-PROBLEM. This involves finding an assignment of truth values to variables in a BOOLEAN-LOGIC formula such that the formula evaluates to true. The problem was historically significant as the first to be classified as NP-COMPLETE by STEPHEN-COOK and LEONID-LEVIN, which is a core concept in COMPUTATIONAL-COMPLEXITY-THEORY.
Contemporary SAT-SOLVERS rely heavily on the CDCL (Conflict-Driven Clause Learning) framework. This approach builds upon the DPLL-ALGORITHM by incorporating non-chronological backtracking and learning new clauses from conflicts. These tools are widely utilized in FORMAL-VERIFICATION, ELECTRONIC-DESIGN-AUTOMATION, and AUTOMATED-REASONING. For extensive documentation and benchmarks, visit the SAT Live portal or the CaDiCaL solver repository.