LARA

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sav07_lecture_3_skeleton [2007/03/20 14:44]
vkuncak
sav07_lecture_3_skeleton [2007/03/20 14:53]
vkuncak
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 ====== Lecture 3 (Skeleton) ====== ====== Lecture 3 (Skeleton) ======
 +
 +===== Converting programs (with simple values) to formulas =====
  
 ==== Context ==== ==== Context ====
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 </​latex> ​     ​ </​latex> ​     ​
     where F is some formula that has x,y,x_0,y_0 as free variables.     where F is some formula that has x,y,x_0,y_0 as free variables.
 +
 +  * this is what I mean by ''​simple values'':​ later we will talk about modeling pointers and arrays, but we will still use this as a starting point.
  
 Our goal is to find rules for computing R(r) that are Our goal is to find rules for computing R(r) that are
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 when c is a basic command. when c is a basic command.
  
-==== Accumulation ​of equalities ====+ 
 + 
 +==== Avoiding accumulation ​of equalities ====
  
 This approach generates many variables and many frame conditions.  ​ This approach generates many variables and many frame conditions.  ​
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 But if a variable is equal to another, it can be substituted using the substitution rules But if a variable is equal to another, it can be substituted using the substitution rules
  
-  (exists x_1. x_1 = t & F(x_1)) ​    <​-> ​   F(t) +  (exists x_1. x_1=t & F(x_1)) ​    <​-> ​   F(t) 
-  (forall x_1. x_1 = t -> F(x_1) ​    <​-> ​   F(t)+  (forall x_1. x_1=t -> F(x_1) ​    <​-> ​   F(t)
  
 We can apply these rules to reduce the size of formulas. We can apply these rules to reduce the size of formulas.