阴影最小化布尔函数重构

IF 3.3 4区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Informatica Pub Date : 2024-02-14 DOI:10.15388/24-infor542
Levon Aslanyan, Gyula Katona, Hasmik Sahakyan
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引用次数: 0

摘要

本文研究了来自有限集合系统阴影最小化理论的一类特殊单调布尔函数--KK-MBF 函数。这些函数是相容约束组系统的描述性模型,然而,所有函数的类别都非常复杂,因此研究 KK-MBF 等相对简单的函数子类是明智之举。KK-MBF 函数的零点与超立方体层上的词序初始段相对应。这一特性可用于简化识别。词法顺序优先于约束,这是实践的适用属性。研究了基于查询的 KK-MBF 函数算法的复杂性。
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Shadow Minimization Boolean Function Reconstruction
A special class of monotone Boolean functions coming from shadow minimization theory of finite set-systems – KK-MBF functions – is considered. These functions are a descriptive model for systems of compatible groups of constraints, however, the class of all functions is unambiguously complex and it is sensible to study relatively simple subclasses of functions such as KK-MBF. Zeros of KK-MBF functions correspond to initial segments of lexicographic order on hypercube layers. This property is used to simplify the recognition. Lexicographic order applies priorities over constraints which is applicable property of practices. Query-based algorithms for KK-MBF functions are investigated in terms of their complexities. PDF  XML
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来源期刊
Informatica
Informatica 工程技术-计算机:信息系统
CiteScore
5.90
自引率
6.90%
发文量
19
审稿时长
12 months
期刊介绍: The quarterly journal Informatica provides an international forum for high-quality original research and publishes papers on mathematical simulation and optimization, recognition and control, programming theory and systems, automation systems and elements. Informatica provides a multidisciplinary forum for scientists and engineers involved in research and design including experts who implement and manage information systems applications.
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