Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/156337
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dc.contributor.advisorCorcuera Valverde, José Manuel-
dc.contributor.authorYu, Yihao-
dc.date.accessioned2020-04-21T08:32:30Z-
dc.date.available2020-04-21T08:32:30Z-
dc.date.issued2019-06-20-
dc.identifier.urihttps://hdl.handle.net/2445/156337-
dc.descriptionTreballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2019, Director: José Manuel Corcuera Valverdeca
dc.description.abstract[en] The Karush-Kuhn-Tucker conditions (in short, the KKT conditions), an extension of the well-known Lagrange multipliers method, have been developed to solve optimization problems in a more general sense, that is, including both inequalities and constraints. On the other hand, the selection of an optimal portfolio conforming the requirements of each investor, requesting a maximum return, a minimum risk or a balance between these two aspects, can be solved with the application of the KKT conditions.ca
dc.format.extent45 p.-
dc.format.mimetypeapplication/pdf-
dc.language.isospaca
dc.rightscc-by-nc-nd (c) Yihao Yu, 2019-
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.sourceTreballs Finals de Grau (TFG) - Matemàtiques-
dc.subject.classificationOptimització matemàticaca
dc.subject.classificationTreballs de fi de grau-
dc.subject.classificationSistemes dinàmics diferenciablesca
dc.subject.classificationAnàlisi funcionalca
dc.subject.classificationSistemes estocàsticsca
dc.subject.otherMathematical optimizationen
dc.subject.otherBachelor's theses-
dc.subject.otherDifferentiable dynamical systemsen
dc.subject.otherFunctional analysisen
dc.subject.otherStochastic systemsen
dc.titleSelección de cartera óptima como aplicación de las condiciones Karush-Kuhn-Tukerca
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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