Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/20.500.14076/26928
Título : Proximal decomposition method applied to energy planning problem with uncertainty
Autor : Oré Albornoz, Ernesto
Asesor : Ocaña Anaya, Eladio Teófilo
Palabras clave : Optimización matemática;Método de descomposición proximal;Planificación energética
Fecha de publicación : 2018
Editorial : Universidad Nacional de Ingeniería
Resumen : We focus in this thesis, on splitting methods which be applied to special optimization or inclusion problems considering its related inclusion problems with an appropriated Lagrangian map. In a general setting for solving a monotone inclusion problem and obtain splitting algorithms, we develop a generalized proximal point and construct a related map with similar contraction properties as the resolvent map. Our general setting includes popular splitting algorithms. Also, we show decomposition techniques in order to solve the multi-block version of our model problems, _nding adequate formulations of the original problem and then apply a particular algorithm version of our general scheme. Finally, we apply the splitting method to a large-scale energy production planning problem.
URI : http://hdl.handle.net/20.500.14076/26928
Derechos: info:eu-repo/semantics/openAccess
Aparece en las colecciones: Doctorado

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informe_de_similitud.pdf548,54 kBAdobe PDFVisualizar/Abrir
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carta_de_autorización.pdf338,67 kBAdobe PDFVisualizar/Abrir


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