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sav07_lecture_6_skeleton [2007/03/30 19:57] vkuncak |
sav07_lecture_6_skeleton [2007/03/30 19:59] vkuncak |
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S is infinite, instead of S, we use a representation of some approximation of S. Because we want to be sure to account for all possibilities (and not miss errors), we use overapproximation of S. | S is infinite, instead of S, we use a representation of some approximation of S. Because we want to be sure to account for all possibilities (and not miss errors), we use overapproximation of S. | ||
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This is the most important condition for abstract interpretation. | This is the most important condition for abstract interpretation. | ||
- | |||
- | When equality holds, we have the "best abstract transformer" (the most precise one) for a given $\gamma$. | ||
One way to find $sp\#$ it is to have $\alpha$ that goes the other way | One way to find $sp\#$ it is to have $\alpha$ that goes the other way | ||
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sp\#(a,r) = \alpha(sp(\gamma(a),r)) | sp\#(a,r) = \alpha(sp(\gamma(a),r)) | ||
\end{equation*} | \end{equation*} | ||
- | + | and we call this "the best transformer". | |
- | All else being same, the best transformer is better, because it gives as precise results as we can get with a given analysis domain. But sometimes it can be more expensive so we use a weaker one. | + | |
==== Lattices ==== | ==== Lattices ==== |