LARA

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sav08:chaotic_iteration_in_abstract_interpretation [2008/05/20 13:08]
vkuncak
sav08:chaotic_iteration_in_abstract_interpretation [2008/05/20 13:19]
vkuncak
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 \begin{array}{ll} \begin{array}{ll}
     g^{k+1}_i = H_i(g^k_1,​\ldots,​g^k_n) ​ \\     g^{k+1}_i = H_i(g^k_1,​\ldots,​g^k_n) ​ \\
-    ​g^{k+1}_j = g^k_j, \mbox{ for } j \neq i  & \mbox{\bf chaotic iteration}+ & \mbox{\bf chaotic iteration} \\ 
 +    ​g^{k+1}_j = g^k_j, \mbox{ for } j \neq i 
 \end{array} \end{array}
 \] \]
-here we require that the new value $H_i(g^k_1,​\ldots,​g^k_n)$ differs from the old one $g^k_i$, otherwise we select a different one. +here we require that the new value $H_i(g^k_1,​\ldots,​g^k_n)$ differs from the old one $g^k_i$. ​ An iteration where at each step we select some equation ​$i$ (arbitrarily) ​is called ​//chaotic iteration//.  It is abstract representation of different iteration strategies.
-Then we pick a different ​$i$, as long as the result changes. ​ This is //chaotic iteration//​.+
    
 Questions: Questions:
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 Algorithm terminates when worklist is empty (no more changes) Algorithm terminates when worklist is empty (no more changes)
  
-Iteration strategies+Useful iteration strategyreverse postorder and strongly connected components 
-  * LIFO, FIFO,  + 
-  * reverse ​postorder +Reverse ​postorder: follow changes through successors in the graph 
-  * round robin + 
-  * strongly connected components+Strongly connected component (SCC) of a directed graph: path between each two nodes of component. 
 +  * compute until fixpoint within each SCC
  
 ===== References ===== ===== References =====