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.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_vm6qy6n9

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