Copyright © 1998 Published by Elsevier Science B.V.
A polynomial time solvable instance of the feasible minimum cover problem
Received 25 March 1998;
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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
α
¦X¦ and 0
β
¦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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