最小化Sheffer函数的图像变换方法的实现

M. Solomko, N. Khomiuk, Yakiv Ivashchuk, V. Nazaruk, V. Reinska, L. Zubyk, A. Popova
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引用次数: 3

摘要

这些研究建立了用图像变换的方法对Sheffer代数函数的展开正规类中的布尔函数进行降低计算复杂度、提高最小化生产率的可能性。将图像变换方法推广到Sheffer代数函数的最小化,使得识别逻辑变换的新代数规则成为可能。2-(n, b)-设计的二元结构上的Sheffer函数的简化具有特殊情况。它们既用于由二元矩阵推导函数化简的结果,也用于将Sheffer函数引入矩阵。证明了n位Sheffer函数的展开范式可以用二值集或矩阵表示。矩阵结构的逻辑运算提供了谢弗函数简化的结果。这使得可以将最小化原则集中在给定函数的真值表中,而不需要辅助对象,如卡诺图,威奇图,覆盖表等。与同类的Sheffer代数函数的最小化方法相比,本文所研究的方法使以下问题成为可能:—降低了最小化Sheffer函数(ENSF-1和ENSF-2)展开范式的算法复杂度;-将最小化Sheffer代数函数的生产率提高100 - 150%;-清楚说明最小化环境安全系数1或环境安全系数2的过程;-通过在ENSF-1和ENSF-2的完全真值表中引入最小函数和极小标记,保证图像变换最小化Sheffer代数函数方法的自充性。有理由断言,将图像变换方法应用于Sheffer代数函数的最小化,可以将ENSF-1和ENSF-2的最小化问题提升到布尔函数的析取-合取范式(DCNF)类中得到充分研究的问题的水平
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation of the Method of Image Transformations for Minimizing the Sheffer Functions
The studies have established the possibility of reducing computational complexity, higher productivity of minimization of the Boolean functions in the class of expanded normal forms of the Sheffer algebra functions by the method of image transformations. Expansion of the method of image transformations to the minimization of functions of the Sheffer algebra makes it possible to identify new algebraic rules of logical transformations. Simplification of the Sheffer functions on binary structures of the 2-(n, b)-designs) features exceptional situations. They are used both when deriving the result of simplification of functions from a binary matrix and introducing the Sheffer function to the matrix. It was shown that the expanded normal form of the n-digit Sheffer function can be represented by binary sets or a matrix. Logical operations with the matrix structure provide the result of simplification of the Sheffer functions. This makes it possible to concentrate the principle of minimization within the truth table of a given function and do without auxiliary objects, such as Karnaugh map, Weich diagrams, coverage tables, etc. Compared with the analogs of minimizing the Sheffer algebra functions, the method under the study makes the following to be possible: ‒ reduce algorithmic complexity of minimizing expanded normal forms of the Sheffer functions (ENSF-1 and ENSF-2); ‒ increase the productivity of minimizing the Sheffer algebra functions by 100‒150 %; ‒ demonstrate clarity of the process of minimizing the ENSF-1 or ENSF-2; ‒ ensure self-sufficiency of the method of image transformations to minimize the Sheffer algebra functions by introducing the tag of minimum function and minimization in the complete truth table of the ENSF-1 and ENSF-2. There are reasons to assert that application of the method of image transformations to the minimization of the Sheffer algebra functions brings the problem of minimization of the ENSF-1 and ENSF-2 to the level of a well-studied problem in the class of disjunctive-conjunctive normal forms (DCNF) of Boolean functions
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