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An Articulation Point-Based Approximation Algorithm for Minimum Vertex Cover Problem

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TLDR
The aim of this paper is to present an approximation algorithm for minimum vertex cover problem (MVCP) based on articulation points/cut vertices and leaf vertices/pendant vertices that assures the near optimal or optimal solution for a given graph and can be solved in polynomial time.
Abstract
The minimum vertex cover problem (MVCP) is a well-known NP complete combinatorial optimization problem. The aim of this paper is to present an approximation algorithm for minimum vertex cover problem (MVCP). The algorithm construction is based on articulation points/cut vertices and leaf vertices/pendant vertices. The proposed algorithm assures the near optimal or optimal solution for a given graph and can be solved in polynomial time. A numerical example is illustrated to describe the proposed algorithm. Comparative results show that the proposed algorithm is very competitive compared with other existing algorithms.

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References
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Book

Introduction to Algorithms

TL;DR: The updated new edition of the classic Introduction to Algorithms is intended primarily for use in undergraduate or graduate courses in algorithms or data structures and presents a rich variety of algorithms and covers them in considerable depth while making their design and analysis accessible to all levels of readers.
Journal ArticleDOI

Approximation Algorithms for the Set Covering and Vertex Cover Problems

TL;DR: A heuristic is proposed that delivers in O(n^3 ) steps a solution for the set covering problem the value of which does not exceed the maximum number of sets covering an element times the optimal value.
Journal ArticleDOI

Identifying the Minimal Transversals of a Hypergraph and Related Problems

TL;DR: Two decision problems on hypergraphs, hypergraph saturation and recognition of the transversal hypergraph, are considered and their significance for several search problems in applied computer science is discussed.
Journal ArticleDOI

Improved upper bounds for vertex cover

TL;DR: Several new techniques, as well as generalizations of previous techniques, are introduced including: general folding, struction, tuples, and local amortized analysis in the polynomial-space algorithm for Vertex Cover.
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