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An Efficient Algorithm for Finding an Irredundant Set Cover

C.R. Kime, Ramachendra P. Batni, Jeffrey D. Russell

Open publisher page 9 citations

Abstract

The set covering problem is considered and an efficient procedure for finding an irredundant cover is presented. For an m × n cover table, the execution time of the procedure is, in the worst case, proportional to mn . Methods are suggested for obtaining alternate irredundant covers based on an initially obtained irredundant cover. The basic cost-independent algorithm is heuristically extended to consider costs so that a reduced-cost irredundant cover can be obtained. A summary of some computational experience is presented, which indicates that the procedure is fast and applicable to large problems.

About this research paper

What this paper is about

The set covering problem is considered and an efficient procedure for finding an irredundant cover is presented. For an m × n cover table, the execution time of the procedure is, in the worst case, proportional to mn . Methods are suggested for obtaining alternate irredundant covers based on an initially obtained irredundant cover. The basic cost-independent algorithm is heuristically extended to consider costs so that a reduced-cost irredundant cover can be obtained. A summary of some computational experience is presented, which indicates that the procedure is fast and applicable to large problems.

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OpenAlex reports 9 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The set covering problem is considered and an efficient procedure for finding an irredundant cover is presented. For an m × n cover table, the execution time of the procedure is, in the worst case, proportional to mn . Methods are suggested for obtaining alternate irredundant covers based on an initially obtained irredundant cover. The basic cost-independent algorithm is heuristically extended to consider costs so that a reduced-cost irredundant cover can be obtained. A summary of some computational experience is presented, which indicates that the procedure is fast and applicable to large problems.

Key concepts: Cover (algebra), Set cover problem, Set (abstract data type), Algorithm, Table (database), Computer science, Mathematics, Data mining

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