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Lecture
SAT Solver: Optimization Techniques
Description
This lecture covers the optimization methods used in the implementation of a SAT solver, including recursive vs iterative approaches, decision heuristics, implication graphs, and benchmarks. It also explores the application of these techniques in solving Sudoku puzzles.
Official source
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