DPLL, standing for the Davis-Putnam-Logemann-Loveland algorithm, is a widely used algorithm in the field of computer science for solving the Boolean satisfiability problem. Some synonyms for DPLL include "conjunctive normal form (CNF) solver", "propositional logic solver", and simply "Boolean solver". Additionally, there are variations of the DPLL algorithm, such as the "conflict-driven clause learning (CDCL)" algorithm, which adds the ability to learn from encountered conflicts. Many computational logic languages and computer-aided verification tools incorporate a DPLL-based SAT solver as a crucial component to their design. However, while DPLL is a powerful algorithm, it may not always be the most efficient choice for solving certain problems. In these cases, alternative SAT solvers may be used, including ones based on stochastic local search or even quantum computing.