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An over/under approximation of a BDD can be easily obtained by erasing the smallest cube. Other heuristics can be considered as well, for example the cube can be pseudo-randomly selected (probably with some weight given to the size of the cube). This reduces the size of a BDD while minimising loss of information, which is useful for approximative techniques.
The text was updated successfully, but these errors were encountered:
An over/under approximation of a BDD can be easily obtained by erasing the smallest cube. Other heuristics can be considered as well, for example the cube can be pseudo-randomly selected (probably with some weight given to the size of the cube). This reduces the size of a BDD while minimising loss of information, which is useful for approximative techniques.
The text was updated successfully, but these errors were encountered: