Average and Worst Case Number of Nodes in Decision Diagrams of Symmetric Multiple-Valued Functions

Abstract

We derive the average and worst case number of nodes in decision diagrams of r-valued symmetric functions of n variables. We show that, for large n, both numbers approach n(r)/r. For binary decision diagrams (r = 2 ), we compute the distribution of the number of functions on n variables with a specified number of nodes. Subclasses of symmetric functions appear as features in this distribution. For example, voting functions are noted as having an average of n(2)/6 nodes, for large n, compared to n(2)/2 , for general binary symmetric functions.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1997
Accession Number
ADA605508

Entities

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  • Jon T. Butler
  • Robert J. Barton Iii
  • Tsutomu Sasao

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  • Naval Postgraduate School

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  • Human Systems

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  • Mathematics

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  • Statistical inference.