The Probabilistic Method for Solving Minimum Vertex Cover Problem Using Systems of Nonlinear Equations

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Author(s)

Listrovoy Sergey Vladimirovich 1,* Motsnyi Stanislav Vladimirovich 1

1. Ukrainian State University of Railway Transport, Dept. of Specialized Computer Systems, Kharkiv, 61050, Ukraine

* Corresponding author.

DOI: https://doi.org/10.5815/ijitcs.2015.11.01

Received: 23 Feb. 2015 / Revised: 21 Jun. 2015 / Accepted: 2 Aug. 2015 / Published: 8 Oct. 2015

Index Terms

Vertex Covers, Undirected Graphs, Leaf Vertices, Approximation Algorithm

Abstract

In this paper the probabilistic method is presented for solving the minimum vertex cover problem using systems of non-linear equations that are formed on the basis of a neighborhood relationship of a particular vertex of a given graph. The minimum vertex cover problem is one of the classic mathematical optimization problems that have been shown to be NP-hard. It has a lot of real-world applications in different fields of science and technology. This study finds solutions to this problem by means of the two basic procedures. In the first procedure three probabilistic pairs of variables according to the maximum vertex degree are formed and processed accordingly. The second procedure checks a given graph for the presence of the leaf vertices. Special software package to check the validity of these procedures was written. The experiment results show that our method has significantly better time complexity and much smaller frequency of the approximation errors in comparison with one of the most currently efficient algorithms.

Cite This Paper

Listrovoy Sergey Vladimirovich, Motsnyi Stanislav Vladimirovich, "The Probabilistic Method for Solving Minimum Vertex Cover Problem Using Systems of Non-linear Equations", International Journal of Information Technology and Computer Science(IJITCS), vol.7, no.11, pp.1-8, 2015. DOI:10.5815/ijitcs.2015.11.01

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