Título:
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Semideterministic global optimization method: Application to a control problem of the Burgers equation
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Autores:
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Ivorra, Benjamin ;
Ramos del Olmo, Ángel Manuel ;
Mohammadi, B.
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Tipo de documento:
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texto impreso
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Editorial:
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Kluwer Academic/Plenum Publ, 2007
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Dimensiones:
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application/pdf
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Nota general:
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info:eu-repo/semantics/restrictedAccess
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Idiomas:
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Palabras clave:
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Estado = Publicado
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Materia = Ciencias: Matemáticas: Investigación operativa
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Tipo = Artículo
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Resumen:
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This paper has two objectives. We introduce a new global optimization algorithm reformulating optimization problems in terms of boundary-value problems. Then, we apply this algorithm to a pointwise control problem of the viscous Burgers equation, where the control weight coefficient is progressively decreased. The results are compared with those obtained with a genetic algorithm and an LM-BFGS algorithm in order to check the efficiency of our method and the necessity of using global optimization techniques.
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En línea:
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https://eprints.ucm.es/id/eprint/17708/1/RamosdelOlmo10.pdf
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