Object

Title: The splitting technique in monotone recognition

Co-author(s) :

Sahakyan Hasmik

Abstract:

We consider the problem of query based algorithmic identification/recognition of monotone Boolean functions, as well as of binary functions defined on multi-valued discrete grids. Hansel's chain-split technique of n -cubes is a well known effective tool of monotone Boolean recognition. An extension by Alekseev is already applied to the grid case. The practical monotone recognition on n -cubes is provided by the so called chain-computation algorithms that is not extended to the case of multi-valued grids. We propose a novel split construction based on partitioning the grid into sub-grids and into discrete structures that are isomorphic to binary cubes. Monotonicity in a multi-valued grid implies monotonicity in all induced binary cubes and in multi-valued sub-grids. Applying Hansel's technique for identification of monotone Boolean functions on all appearing binary cubes, and Alekseev's algorithm on all sub-grids leads to different scenarios of reconstruction of monotone functions. On one hand such partitioning technique makes parallel recognition possible, on the other hand - the method can be used in practical identification algorithms due to simple structures and easily calculable quantities appearing after the partition to the n -cubes. Complexity issues of considered algorithms were also elaborated.

Place of publishing:

Elsevier Science Publishers B. V., Netherlands

Publisher:

Elsevier

Date of publication:

10.01.2017

Identifier:

oai:noad.sci.am:136088

DOI:

10.1016/j.dam.2016.04.008

ISSN:

0166-218X

Language:

English

Journal or Publication Title:

Discrete Applied Mathematics

Volume:

216

Number:

P3

URL:


Affiliation:

Institute for Informatics and Automation Problems

Country:

Armenia

Indexing:

WOS

Object collections:

Last modified:

Apr 9, 2021

In our library since:

Apr 9, 2021

Number of object content hits:

26

All available object's versions:

https://noad.sci.am/publication/149570

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