Abstract
The behavior of sequential gate networks can be represented mathematically by using a binary model of gates. Unfortunately, the analysis algorithms in such a model grow exponentially with the number of gates. In this paper we describe an analysis method based on a ternary model of gates, which leads to algorithms that grow linearly with the number of gates.
It is also shown that the ternary model is ‘less accurate’ in the sense that some information may be lost.
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References
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J. A. Brzozowski and M. Yoeli, ‘Models for Analysis of Races in Sequential Networks’, in “Mathematical Foundation of Computer Science” (A. Blikle, ed.), pp. 26-32, Lecture Notes in Computer Science, vol. 28, Springer-Verlag, Berlin, 1975.
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J. A. Brzozowski and M. Yoeli, ‘On a Ternary Model of Gate Networks’, Research Report CS-76-40, Dept. of Computer Science, University of Waterloo, Waterloo, Ont., Canada, September 1976.
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© 1977 D. Reidel Publishing Company Dordrecht-Holland
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Yoeli, M., Brzozowski, J.A. (1977). Ternary Simulation of Binary Gate Networks. In: Dunn, J.M., Epstein, G. (eds) Modern Uses of Multiple-Valued Logic. Episteme, vol 2. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-1161-7_3
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DOI: https://doi.org/10.1007/978-94-010-1161-7_3
Publisher Name: Springer, Dordrecht
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Online ISBN: 978-94-010-1161-7
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