Paper Info
Title
A Reduction Method for the Number of Variables to Represent Index Generation Functions: s-Min Method
Abstract
Most n-variable incompletely specified index generation functions with weight k can be represented by fewer variables than n when k ≪ 2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</sup> . Furthermore, with a linear decomposition, the function can be represented by still fewer variables. In this paper, we propose an iterative improvement method, called the s-Min method, to reduce the number of variables.
Year
DOI
Venue
2015
10.1109/ISMVL.2015.40
2015 IEEE International Symposium on Multiple-Valued Logic
Keywords
Field
DocType
incompletely specified function,index generation function,functional decomposition,linear transformation,iterative improvement
Discrete mathematics,Iterative method,Functional decomposition,Algorithm,Linear map,Mathematics
Conference
ISSN
Citations 
PageRank 
0195-623X
10
0.90
References 
Authors
5
1
Name
Order
Citations
PageRank
Tsutomu Sasao11083141.62