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Information Processing Letters
Volume 68, Issue 3, 15 November 1998, Pages 141-146
 
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doi:10.1016/S0020-0190(98)00154-9    How to Cite or Link Using DOI (Opens New Window)
Copyright © 1998 Published by Elsevier Science B.V.

A polynomial time solvable instance of the feasible minimum cover problem

Chor-Ping LowE-mail The Corresponding Author

School of Electrical and Electronic Engineering, Nanyang Technological University, Nanyang Avenue, Singapore 639798, Singapore

Received 25 March 1998; 
revised 3 August 1998. 
Communicated by F.Y.L. Chin 
Available online 16 February 1999.

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Abstract

The feasible minimum cover problem is that of finding a minimum vertex caver S for a bipartite graph G = (X, Y, E) such that S contains no more than α vertices from X and no more than β vertices from Y, where α and β are constants such that 0 less-than-or-equals, slant α less-than-or-equals, slant ¦X¦ and 0 less-than-or-equals, slant β less-than-or-equals, slant ¦Y¦. This problem is closely related to the problem of reconfiguring defective VLSI arrays, such as the random access memories and is known to be NP-complete. In this paper, we present a nontrivial polynomial time solvable instance of the feasible minimum cover problem that is based on the unique decomposition of a given bipartite graph into three vertex disjoint subgraphs.

Author Keywords: Bipartite graph; Maximum matching; Vertex cover; Polynomial time algorithm; Algorithms

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Information Processing Letters
Volume 68, Issue 3, 15 November 1998, Pages 141-146
 
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