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dc.contributor.authorSchoppmeyer, Andreas-
dc.date.accessioned2006-12-07T15:43:38Z-
dc.date.available2006-12-07T15:43:38Z-
dc.date.issued2006-
dc.identifier.urihttp://hdl.handle.net/2003/23117-
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-3076-
dc.description.abstractThe problem of finding a maximum-size matching in a graph appears in many situations in graph theory. Therefore it is crucial to compute such matchings in a fast way. In some cases a hybrid algorithm, consisting of an heuristic to find a start-matching and an exact algorithm to compute the maximum-size matching, appears to be much faster than classical algorithms. We show a way to implement appropriate heuristics, exact algorithms and hybrid algorithms in C++ and compare their performance on different random graphs. To reduce the programming-effort , we used comprehensible techniques. These techniques can be implemented indepen- dent of programming languages and the operating systems.en
dc.format.extent92268 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.publisherUniversität Dortmund, Wirtschafts- und Sozialwissenschaftliche Fakultätde
dc.relation.ispartofseriesDiskussionsbeiträge des Fachgebietes Operations Research und Wirtschaftsinformatik;32 (2006)-
dc.subjectEfficient graph algoritmsen
dc.subjectMaximun-size matchingsen
dc.subject.ddc330-
dc.titleOn computing maximum size matchings in graphsen
dc.typeTextde
dc.type.publicationtypeworkingPaper-
dcterms.accessRightsopen access-
Appears in Collections:Fachgebiet Operations Research und Wirtschaftsinformatik

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