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Reconstructing positive Boolean functions with Shadow Clustering

Conference Paper
Publication Date:
2005
abstract:
The problem of reconstructing the ANDOR expression of a positive Boolean function starting from a portion of its truth table is solved by adopting a proper algorithm, called Shadow Clustering (SC). It generates a collection of prime implicants by descending the part of the diagram of the Boolean lattice (associated with the input domain) that lies beneath the available examples. Three different versions of SC are proposed, according to the approaches adopted to perform a single move downward.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Algorithms; Problem solving; Shadow Clustering; Boolean functions
List of contributors:
Quarati, Alfonso; Muselli, Marco
Authors of the University:
MUSELLI MARCO
QUARATI ALFONSO
Handle:
https://iris.cnr.it/handle/20.500.14243/151118
Book title:
Proceedings of the 2005 European Conference on Circuit Theory and Design
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