Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/185604
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dc.contributor.advisorBenseny, Antoni-
dc.contributor.authorSabater Rojas, Lluı́s-
dc.date.accessioned2022-05-17T07:21:54Z-
dc.date.available2022-05-17T07:21:54Z-
dc.date.issued2021-06-20-
dc.identifier.urihttp://hdl.handle.net/2445/185604-
dc.descriptionTreballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2021, Director: Antoni Bensenyca
dc.description.abstract[en] The aim of the project is the study of maximal matchings in graphs, both in unweighted graphs and in weighted graphs. For the case of the graphs that are not weighted, we will see how Edmond's algorithm works, which will allows us to find a maximum cardinality matching. After studying the case without weights, we will introduce a few concepts of linear programming in order to be able to solve the weighted case, where we will look for maximum weight matchings. Finally, we will see the applications of these results when finding approximations (one upper bound and one lower bound) in polynomial time for the Travelling Salesman Problem, we will use Christofides’ algorithm to find an upper bound.ca
dc.format.extent53 p.-
dc.format.mimetypeapplication/pdf-
dc.language.isocatca
dc.rightscc-by-nc-nd (c) Lluı́s Sabater Rojas, 2021-
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.sourceTreballs Finals de Grau (TFG) - Matemàtiques-
dc.subject.classificationAlgorismes computacionalsca
dc.subject.classificationTreballs de fi de grau-
dc.subject.classificationTeoria de grafsca
dc.subject.classificationProgramació (Matemàtica)ca
dc.subject.otherComputer algorithmsen
dc.subject.otherBachelor's theses-
dc.subject.otherGraph theoryen
dc.subject.otherMathematical programmingen
dc.titleAlgorismes i aplicacions d’aparellaments maximals en grafsca
dc.typeinfo:eu-repo/semantics/bachelorThesisca
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca
Appears in Collections:Treballs Finals de Grau (TFG) - Matemàtiques

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