Read-polarity-once Boolean functions

V. Callegaro, Mayler G. A. Martins, R. Ribas, A. Reis
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引用次数: 8

Abstract

Efficient exact factoring algorithms are limited to read-once (RO) functions, where each variable appears once in the final Boolean expression. However, these algorithms present two important constraints: (1) they do not consider incompletely specified Boolean functions (ISF); and (2) they are not suitable for binate functions. To overcome the first drawback, an algorithm that finds RO expressions for ISF, whenever possible, is proposed. With respect to the second limitation, we propose a domain transformation that splits existing binate variables into two independent unate variables. Such domain transformation leads to ISF, which can be efficiently factored by applying the proposed algorithm. The combination of both contributions gives optimal results for a novel broader class of Boolean functions called read-polarity-once (RPO) functions, where each polarity (positive and negative) of a variable appears at most once in the factored form. Experimental results carried out over ISCAS'85 benchmark circuits have shown that RPO functions are significantly more frequent than RO functions.
读取极性一次的布尔函数
高效的精确因子分解算法仅限于一次读取(RO)函数,其中每个变量在最终的布尔表达式中出现一次。然而,这些算法存在两个重要的约束:(1)它们不考虑不完全指定布尔函数(ISF);(2)它们不适合二叉函数。为了克服第一个缺点,提出了一种算法,在可能的情况下为ISF找到RO表达式。关于第二个限制,我们提出了一个域变换,将现有的二进制变量分割成两个独立的单变量。这种域变换会产生ISF,采用本文提出的算法可以有效地分解ISF。这两种贡献的结合为一种称为一次读取极性(RPO)函数的新型更广泛的布尔函数类提供了最佳结果,其中变量的每个极性(正极性和负极性)在因子形式中最多出现一次。在ISCAS’85基准电路上进行的实验结果表明,RPO函数的频率明显高于RO函数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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