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Fast algorithms for some dominating induced matching problems

Lin, Min Chih et al · Elsevier Science · 2014

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We describe O(n) time algorithms for finding the minimum weighted dominating induced matching of chordal, dually chordal, biconvex, and claw-free graphs. For the first three classes, we prove tight O(n) bounds on the maximum number of edges that a graph having a dominating induced matching may contain. By applying these bounds, and employing existing O(n + m) time algorithms we show that they can be reduced to O(n) time. For claw-free graphs, we describe a variation of the existing algorithm for solving the unweighted version of the problem, which decreases its complexity from O(n2) to O(n), while additionally solving the weighted version. The same algorithm can be easily modified to count the number of DIM’s of the given graph. Fil: Lin, Min Chih. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Mizrahi, Michel Jonathan. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina

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APA 7

Lin, M. C. E. A. (2014). Fast algorithms for some dominating induced matching problems. http://hdl.handle.net/11336/33031

MLA

Lin, Min Chih et al. "Fast algorithms for some dominating induced matching problems." 2014. http://hdl.handle.net/11336/33031.

Chicago

Lin, Min Chih et al. 2014. "Fast algorithms for some dominating induced matching problems.". http://hdl.handle.net/11336/33031.

Harvard

Lin, M. C. E. A. 2014, Fast algorithms for some dominating induced matching problems, Elsevier Science, available at: http://hdl.handle.net/11336/33031 [Accessed 8 Aug. 2026].

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Title
Fast algorithms for some dominating induced matching problems
Author / contributors
Lin, Min Chih et al
Publisher
Elsevier Science
Publication year
2014
ISSN
0020-0190
ISSN
0020-0190
Language
English

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