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sav08:dpll_algorithm_for_sat [2008/03/12 19:31]
vkuncak
sav08:dpll_algorithm_for_sat [2008/03/13 17:45]
vkuncak
Line 33: Line 33:
 <​code>​ <​code>​
 def DPLL(S : Set[Clause]) : boolean = def DPLL(S : Set[Clause]) : boolean =
-  val S' = BCP(S)+  val S' = RemoveSubsumed(BCP(S))
   if (emptyClause in S') then false   if (emptyClause in S') then false
   else if (S' has only unit clauses) then true   else if (S' has only unit clauses) then true
Line 39: Line 39:
      val P = pick variable from FV(S')      val P = pick variable from FV(S')
      ​DPLL(F'​ union {p}) or DPLL(F'​ union {Not(p)})      ​DPLL(F'​ union {p}) or DPLL(F'​ union {Not(p)})
 +</​code>​
 +
 +<​code>​
 +def RemoveSubsumed(S : Set[Clause]) : Set[Clause] =
 +  if there are C1,C2 in S such that C1 subset C2 
 +  then RemoveSubsumes(S - {C2})
 +  else S
 </​code>​ </​code>​
  
Line 121: Line 128:
 This does not contradict P vs NP question, because there may be "​better"​ proof systems than resolution. This does not contradict P vs NP question, because there may be "​better"​ proof systems than resolution.
  
-Lower bounds for both resolution and a stronger system are shown here by proving that interpolants can be exponential,​ and that interpolants are polynomial in proof size:+Lower bounds for both resolution and a stronger system are shown here by proving that interpolants can be exponential,​ and that interpolants are polynomial in proof size (see [[Interpolants from Resolution Proofs]]):
   * Pavel Pudlák: [[http://​citeseer.ist.psu.edu/​36219.html|Lower Bounds for Resolution and Cutting Plane Proofs and Monotone Computations]]   * Pavel Pudlák: [[http://​citeseer.ist.psu.edu/​36219.html|Lower Bounds for Resolution and Cutting Plane Proofs and Monotone Computations]]
-