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sav08:dpll_algorithm_for_sat [2008/03/13 17:45]
vkuncak
sav08:dpll_algorithm_for_sat [2013/04/17 17:35]
vkuncak
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 Note: for each unit clause and other clause we can perform unit resolution at most once (variable disappears) Note: for each unit clause and other clause we can perform unit resolution at most once (variable disappears)
   * BCP is polynomial procedure   * BCP is polynomial procedure
 +
 +We do not need to keep literals that are subset of existing ones:
 +<​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>​
 +In particular, when we apply unit resolution, the original clause can be deleted.
  
 ===== DPLL Recursively ===== ===== DPLL Recursively =====
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      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>​
  
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     S' \vdash {\it false}     S' \vdash {\it false}
 \] \]
-++++Idea:| 
 From From
 \[ \[
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 Why can we modify resolution proof to move $p$ from assumption and put its negation to conclusion? Why can we modify resolution proof to move $p$ from assumption and put its negation to conclusion?
-+++++
  
 === Lower Bounds on Running Time === === Lower Bounds on Running Time ===
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 Theorem: for some formulas, shortest resolution proofs are exponential. Theorem: for some formulas, shortest resolution proofs are exponential.
  
-This does not contradict P vs NP question, because there may be "​better"​ proof systems than resolution.+This does not contradict ​that P vs NP question ​is open, 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 (see [[Interpolants from Resolution Proofs]]): 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]]