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sav07_lecture_3_skeleton [2007/03/21 09:51]
vkuncak
sav07_lecture_3_skeleton [2007/03/21 10:39]
vkuncak
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 Proof: small model theorem. Proof: small model theorem.
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 Next: reduce to integer linear programming:​ Next: reduce to integer linear programming:​
 \begin{equation*} \begin{equation*}
-  ​Ax = b, x \geq 0+  ​A\vec x \vec b, \vec x \geq \vec 0
 \end{equation*} \end{equation*}
 where $A \in {\cal Z}^{m,n}$ and $x \in {\cal Z}^n$. where $A \in {\cal Z}^{m,n}$ and $x \in {\cal Z}^n$.
  
-Then use small model theorem for integer ​linear programming (ILP).+Then solve integer linear programming (ILP) problem 
 +  * [[wk>​Integer Linear Programming]] 
 +  * online book chapter on ILP 
 +  * [[http://​www.gnu.org/​software/​glpk/​|GLPK]] tool 
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 +We can prove small model theorem for ILP - gives bound on search. 
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 +Short proof by {{papadimitriou81complexityintegerprogramming.pdf|Papadimitriou}}:​ 
 +  * solution of Ax=b (A regular) has as components rationals of form p/q with bounded p,q 
 +  * duality of linear programming 
 +  * obtains bound $M = n(ma)^{2m+1}$, which needs $(2m+1)(\log n + \log m + \log a)$ bits 
 +  * we could encode the problem into SAT: use circuits for addition, comparison etc.
  
-Short proof by {{papadimitriou81complexityintegerprogramming.pdf|Papadimitriou}}.+Note: if small model theorem applies to conjunctions,​ it also applies to arbitrary QFPA formulas 
  
-Note: if small model theorem applies to conjunctions,​ it also applies to arbitrary QFPA formulas.  ​Moreover, one can improve these bounds. ​ One tool based on these ideas is [[http://​www.cs.cmu.edu/​~uclid/​|UCLID]].+Moreover, one can improve these bounds. ​ One tool based on these ideas is [[http://​www.cs.cmu.edu/​~uclid/​|UCLID]].
  
-Alternative:​ enumerate disjuncts of DNF on demand, each disjunct is a conjunction,​ then use ILP techniques (often first solve the underlying linear programming problem over reals).  ​Most SMT tools are based on this idea (along with Nelson-Oppen combination:​ next class).+Alternative:​ enumerate disjuncts of DNF on demand, each disjunct is a conjunction,​ then use ILP techniques (often first solve the underlying linear programming problem over reals).  ​Many SMT tools are based on this idea (along with Nelson-Oppen combination:​ next class).
   * [[http://​www.cs.nyu.edu/​acsys/​cvc3/​download.html|CVC3]] (successor of CVC Lite)   * [[http://​www.cs.nyu.edu/​acsys/​cvc3/​download.html|CVC3]] (successor of CVC Lite)
   * [[http://​combination.cs.uiowa.edu/​smtlib/​|SMT-LIB]] Standard for formulas, competition   * [[http://​combination.cs.uiowa.edu/​smtlib/​|SMT-LIB]] Standard for formulas, competition