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THE SPECTRALITY DECISION PROBLEM
作者姓名:E.V.Dubrova  J.C.Muzio
作者单位:University of Victoria Canada,University of Victoria,Canada
摘    要:An effcient algorithm for deciding whether a given integer vector is thespectrum of some Boolean function is presented.The algorithm performs astep-by-step spectral decomposition of the input vector and checks at eachstep a set of necessary conditions for spectrality for the resulting vectors.The algorithm concludes that the input vector cannot lead to a valid Booleanfunction as soon as a vector not satisfying the conditions is found,which,as proved in the paper,for almost all cases happens after the first step ofthe decomposition.


The spectrality decision problem
E.V.Dubrova,J.C.Muzio.THE SPECTRALITY DECISION PROBLEM[J].Analysis in Theory and Applications,1998,14(3):73-84.
Authors:E V Dubrova  J C Muzio
Institution:1. VLSI Design and Test Group Department of Computer Science, University of Victoria, P.O. Box 3055, V8W 3P6, Victoria, B.C., Canada
Abstract:An efficient algorithm for deciding whether a given integer vector is the spectrum of some Boolean function is presented. The algorithm performs a step-by-step spectral decomposition of the input vector and checks at each step a set of necessary conditions for spectrality for the resulting vectors. The algorithm concludes that the input vector cannot lead to a valid Boolean function as soon as a vector not satisfying the conditions is found, which, as proved in the paper, for almost all cases happens after the first step of the decomposition.
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