DPLL
A classic backtracking algorithm for solving the SAT problem, based on branching and unit propagation operations.
Timeline (last 90 days)
The core idea of the algorithm is to shrink the search space by accumulating pruning constraints on top of the classical DPLL branching algorithm.
The classical DPLL algorithm solves SAT problems through branching and unit propagation; a naive extension to Max 2-SAT traverses the full binary search tree and in the worst case needs to check 2^n assignments.
SAT solvers encode combinatorial constraint problems as a set of Boolean variables and clauses, and use algorithms such as DPLL and CDCL to determine whether an assignment satisfying all clauses exists.
All Facts (3)
The core idea of the algorithm is to shrink the search space by accumulating pruning constraints on top of the classical DPLL branching algorithm.
50%UnverifiedThe classical DPLL algorithm solves SAT problems through branching and unit propagation; a naive extension to Max 2-SAT traverses the full binary search tree and in the worst case needs to check 2^n assignments.
50%UnverifiedSAT solvers encode combinatorial constraint problems as a set of Boolean variables and clauses, and use algorithms such as DPLL and CDCL to determine whether an assignment satisfying all clauses exists.
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