LARA

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sav07_lecture_3_skeleton [2007/03/20 14:48]
vkuncak
sav07_lecture_3_skeleton [2007/03/20 14:58]
vkuncak
Line 1: Line 1:
 ====== Lecture 3 (Skeleton) ====== ====== Lecture 3 (Skeleton) ======
 +
 +===== Converting programs (with simple values) to formulas =====
 +
 +
  
 ==== Context ==== ==== Context ====
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   * represent programs using guarded command language, e.g. desugaring of '​if'​ into non-deterministic choice and assume   * represent programs using guarded command language, e.g. desugaring of '​if'​ into non-deterministic choice and assume
   * give meaning to guarded command language statements as relations   * give meaning to guarded command language statements as relations
-  * we can represent relations using set comprehensions;​ if our program ​has two state components, we can represent its meaning R(r) as+  * we can represent relations using set comprehensions;​ if our program ​has two state components, we can represent its meaning R( ) as
 <​latex>​ <​latex>​
 \{((x_0,​y_0),​(x,​y)) \mid F \} \{((x_0,​y_0),​(x,​y)) \mid F \}
 </​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.
  
-Our goal is to find rules for computing R(r) that are+  * 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( ) that are
   * correct   * correct
   * efficient   * efficient
-  * create formulas that we can prove later+  * create formulas that we can effectively ​prove later 
 + 
 +What exactly do we prove about the formula R( c ) ? 
 + 
 +We prove that this formula is **valid** 
 + 
 +  R( c ) -> error=false