SAT Etudes 2: Toy DPLL
Read OriginalThis article details the implementation of a toy DPLL (Davis–Putnam–Logemann–Loveland) algorithm for solving Boolean satisfiability (SAT) problems. It explains the core concepts of backtracking search, unit propagation, and the trail data structure, providing Python code snippets. The author connects this to broader topics like SMT solvers and the Z3py API.
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