Introduction to SAT (constraint) solving - Crest

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SAT solver (60s) F = BCP(F) : unit propagation (Boolean constraint propagation) if F = True : return satisfiable if empty clause ∈ F : return unsatisfiable pick remaining variable x and literal l ∈ {x, ¬x} if DPLL(F ∧ {l}) returns satisfiable : return satisfiable return DPLL(F ∧ {¬l})
Conflict Analysis (late 90s) MiniSAT demo http : //minisat.se/Papers.html
Page 1 and 2: Introduction to SAT (constraint) so
Page 3 and 4: The 8-queens problem
Page 5 and 6: SAT example x 1 ∨ x 2 ∨ ¬x 4
Page 7 and 8: The 8-queens problem : SAT model p
Page 9 and 10: Example background theories for SMT
Page 11 and 12: The Constraint Satisfaction Problem
Page 13 and 14: SAT, SMT or CSP ◮ SAT: + extremel
Page 15 and 16: A short introduction to SAT solving
Page 17 and 18: SAT solver classification Most wide
Page 19 and 20: SAT solvers are extremely efficient
Page 23 and 24: SAT Applications ◮ Bounded Model
Page 25 and 26: CDCL SAT solver
Page 27 and 28: Unit propagation x 0 ∨ x 2 ∨ x
Page 29 and 30: Unit propagation x 0 ∨ x 2 ¬x 2
Page 31 and 32: Unit propagation x 0 ¬x 2 ∨ ¬x
Page 33: Unit propagation x 0 : satisfied ¬
Page 37 and 38: Conflict Analysis - conflict clause
Page 39 and 40: SAT, SMT and CSP solvers are used f
Page 43 and 44: References ◮ Armin Biere, ed. Han

Introduction to SAT (constraint) solving - Crest

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