1999
DOI: 10.1109/43.743706
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BDD minimization using symmetries

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Cited by 55 publications
(37 citation statements)
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“…9 shows the routine that checks for a functional conflict in an OPP. This routine searches the database of simulation pairs for two consistent input vectors (lines [1][2][3][4][5][6][7][8][9][10][11][12][13]. Suppose that it finds input vectors P and Q consistent with regard to the OPP, and suppose that P, R and Q, U are the simulation pairs that correspond to P and Q.…”
Section: G Learning From Sat Counterexamplesmentioning
confidence: 99%
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“…9 shows the routine that checks for a functional conflict in an OPP. This routine searches the database of simulation pairs for two consistent input vectors (lines [1][2][3][4][5][6][7][8][9][10][11][12][13]. Suppose that it finds input vectors P and Q consistent with regard to the OPP, and suppose that P, R and Q, U are the simulation pairs that correspond to P and Q.…”
Section: G Learning From Sat Counterexamplesmentioning
confidence: 99%
“…10 shows an example of learning when refinement is disabled. 3 For this example, our algorithm encounters functional conflicts at nodes (4) and (6). While backtracking from node (6), it finds that node (5) has a functional conflict under simulation pairs Γ3 and Γ4.…”
Section: ) Check Ifmentioning
confidence: 99%
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“…For completely specified functions they form a transitivity relation which can be utilized for the efficient construction of groups of more than two symmetric variables in quadratic run time. Methods for the efficient identification of variable symmetries using binary decision diagrams [3] have recently been described in [10] and [15].…”
Section: Symmetries In Functional Specificationsmentioning
confidence: 99%
“…The graphical representation of Boolean functions using BDDs have been potentially used for simplification of complex functions (Drecher R., Dreshler N. and Gunther W. 2000;Hong Y., et. al 2000;Scholl C. et. al 2000).…”
Section: Introductionmentioning
confidence: 99%