Titlebook: Domain Decomposition Methods in Science and Engineering XXI; Jocelyne Erhel,Martin J. Gander,Olof Widlund Conference proceedings 2014 Spri

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Institut für Baustatik und Konstruktion eigenvalue problems for the solution of heterogeneous, e.g., multiscale, problems is considered. This strategy to construct a coarse space is implemented using a deflation approach. In the second part of the proceedings article, new domain decomposition approaches for nonlinear problems are introdu

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,Arbeit und Umwelt — Ein Blick nach vorn,rkin method is used or a cell-centered finite volume is used. Both methods are locally mass conservatives and therefore well-suited for modeling porous media flows. Convergence of the method is obtained by deriving a priori error estimates.

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O-Families and Their Graph Topologiese take several analytical and physical considerations into account, and choose appropriate auxiliary spaces (problems) to design a preconditioner in the framework of auxiliary space preconditioning method. Secondly, we present an efficient implementation of the proposed preconditioner in modern mult

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Free Trade ist nicht Fair Tradee with a classical domain decomposition method in space, was proposed and studied. The algorithm enables a multiplicative increase in the number of cores utilized in the spatial solver equal to the order of accuracy in time. This paper reviews the RIDC–DD method and presents in detail two hybrid MPI

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Christian Eigner,Michaela Ritter Unit (GPU), a high-profile parallel processor with hundreds of microprocessors, offers great potential in parallel reservoir simulation because of its efficient power utilization and high computational efficiency. In addition, its cost is relatively low, making large-scale parallel reservoir simula