广义Reed-Muller表达式的精确最小化算法

Tsutomu Sasao, D. Dednath
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引用次数: 14

摘要

通过对正极性Reed-Muller表达式(PPRM)中的一些字元进行消去,得到了广义Reed-Muller表达式(GRM)。对于一个n变量函数,最多有2/sup n2(n-1)/个不同的grm。最小GRM是指产品最少的GRM。本文给出了grm的一些性质和精确的最小化算法。最小化算法使用二进制决策图。在最多5个变量的情况下,生成了所有np等价类的代表函数,并进行了最小化。表格比较了7类表达式(FPRMs、KROs、PSDRMs、PSD-KROs、GRMs、ESOPs和SOPs)表示5变量函数所需的产品数量。平均而言,grm比乘积和表达式需要更少的乘积,并且易于测试实现。
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An exact minimization algorithm for generalized Reed-Muller expressions
A generalized Reed-Muller expression (GRM) is obtained by negating some of the literals in a positive polarity Reed-Muller expression (PPRM). There are at most 2/sup n2(n-1)/ different GRMs for an n-variable function. A minimum GRM is one with the fewest products. This paper presents certain properties and an exact minimization algorithm for GRMs. The minimization algorithm uses binary decision diagrams. Up to five variables, all the representative functions of NP-equivalence classes were generated, and minimized. A table compares the number of products necessary to represent 5-variable functions for 7 classes of expressions: FPRMs, KROs, PSDRMs, PSD-KROs, GRMs, ESOPs, and SOPs. GRMs require, on the average, fewer products than sum-of-products expressions and have easily testable realizations.
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