Minimization of Boolean expressions using matrix algebra

H. Schwender
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引用次数: 9

Abstract

The more variables a logic expression contain, the more complicated is the interpretation of this expression. Since in a statistical sense prime implicants can be interpreted as interactions of binary variables, it is thus advantageous to convert such a logic expression into a disjunctive normal form consisting of prime implicants. In this paper, we present two algorithms based on matrix algebra for the identification of all prime implicants comprised in a logic expression and for the minimization of this set of prime implicants.
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最小化布尔表达式使用矩阵代数
一个逻辑表达式包含的变量越多,该表达式的解释就越复杂。由于在统计意义上素数蕴涵可以解释为二元变量的相互作用,因此将这样的逻辑表达式转换为由素数蕴涵组成的析取范式是有利的。在本文中,我们提出了两种基于矩阵代数的算法,用于识别逻辑表达式中包含的所有素数蕴涵和最小化该素数蕴涵集。
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