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Numerical Quadratic Energy Minimization Bound to Convex Constraints in Thin-film Micromagnetics

Samuel Ferraz-LeiteJens Markus MelenkDirk Praetorius

出版	Niedersächsische Staats- und Universitätsbibliothek, 2011
URL	http://books.google.com.hk/books?id=BYAUvwEACAAJ&hl=&source=gbs_api

註釋

We analyze the reduced model for thin-film devices in stationary micromagnetics proposed by DeSimone, Kohn, Müller, Otto, Schäfer 2001. We introduce an appropriate functional analytic framework and prove well-posedness of the model in that setting. The scheme for the numerical approximation of solutions consists of two ingredients: The energy space is discretized in a conforming way using Raviart-Thomas finite elements; the non-linear but convex side constraint is treated with a penalty method. This strategy yields a convergent sequence of approximations as discretization and penalty parameter vanish. The proof generalizes to a large class of minimization problems and is of interest beyond the scope of thin-film micromagnetics. Numerical experiments support our findings and illustrate the performance of the proposed algorithm.