Davis-Putnam-Logemann-Loveland
The Davis-Putnam-Logemann-Loveland (DPLL) algorithm is a backtracking-based method used for solving the Boolean satisfiability problem (SAT). It determines if there exists an assignment of truth values to variables that makes a given Boolean formula true. The algorithm systematically explores possible variable assignments while applying logical rules to prune the search space.
DPLL enhances the basic backtracking approach by incorporating techniques such as unit propagation and pure literal elimination. These techniques help simplify the problem and reduce the number of possibilities that need to be explored, making DPLL more efficient than earlier methods for solving SAT problems.