Algorithmic methods of finite discrete structures. Graph clique problem

Fuente: arXiv
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Main Authors: Kurapov, Sergey, Davidovsky, Maxim
Format: Preprint
Published: 2024
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author Kurapov, Sergey
Davidovsky, Maxim
author_facet Kurapov, Sergey
Davidovsky, Maxim
contents The monography presents a new algorithm for finding the clique of maximal length in a nonseparable graph. The algorithm is based on the properties of the representation of a clique as a subset of the set of cycles with a length of three, the ring sum of which is an empty set. As a result of selecting the cycles of the length of three, two vectors are formed: the vector of cycles passing through the edges and the vector of cycles passing through the vertices. The numerical values of the components of these vectors determine the weights of the vertices and edges. The iterative process of constructing the set of vectors of cycles passing through the edges allows identifying the main vector of cycles passing through the edges. In turn, the construction of the main vector allows finding the clicks of the graph. The computational complexity of the presented algorithm is analyzed.
format Preprint
id arxiv_https___arxiv_org_abs_2410_22039
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Algorithmic methods of finite discrete structures. Graph clique problem
Kurapov, Sergey
Davidovsky, Maxim
Discrete Mathematics
Computational Complexity
Combinatorics
The monography presents a new algorithm for finding the clique of maximal length in a nonseparable graph. The algorithm is based on the properties of the representation of a clique as a subset of the set of cycles with a length of three, the ring sum of which is an empty set. As a result of selecting the cycles of the length of three, two vectors are formed: the vector of cycles passing through the edges and the vector of cycles passing through the vertices. The numerical values of the components of these vectors determine the weights of the vertices and edges. The iterative process of constructing the set of vectors of cycles passing through the edges allows identifying the main vector of cycles passing through the edges. In turn, the construction of the main vector allows finding the clicks of the graph. The computational complexity of the presented algorithm is analyzed.
title Algorithmic methods of finite discrete structures. Graph clique problem
topic Discrete Mathematics
Computational Complexity
Combinatorics
url https://arxiv.org/abs/2410.22039