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Titlebook: Domain Decomposition Methods in Science and Engineering; Timothy J. Barth,Michael Griebel,Jinchao Xu Conference proceedings 2005 Springer-

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Iterative Substructuring Methods for Indoor Air Flow SimulationFor the linearized problems we apply an iterative substructuring technique which couples the subdomain problems via Robin-type transmission conditions. The method is applied to a benchmark problem, including comparison with experimental data by Tian and Karayiannis [2000] and to realistic ventilation problems.
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Non-matching Grids and Lagrange Multiplierso derive, from ., the values of each trace of . on the boundary of each .. We do it by solving an auxiliary problem on each . that resembles the mortar method but is more flexible. Optimal error estimates are proved under suitable assumptions.
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On the Construction of Approximate Boundary Conditions for Solving the Interior Problem of the Acous an iterative finite element solver without modifying its performances since the pseudolocal implementation preserves the sparse structure of the linear system. Numerical results are given to illustrate the method.
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Fluid-Structure Interaction Using Nonconforming Finite Element Methodscribe a nonconforming finite element method which solves the problem of interaction between a viscous incompressible fluid and a structure whose deformation defines the interface between the two simultaneously. A general methodology is described for the model 2D problem and the algorithm is validated computationally for a one-dimensional example.
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Electronic Packaging and Reduction in Modelling Time Using Domain DecompositionThe domain decomposition method is directed to electronic packaging simulation in this article. The objective is to address the entire simulation process chain, to alleviate user interactions where they are heavy to mechanization by component approach to streamline the model simulation process.
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Local Defect Correction Techniques Applied to a Combustion Problem domain decomposition algorithm provides a natural route for parallelization by employing many small tensor-product grids, rather than a single large unstructured grid. The algorithm is applied to a laminar Bunsen flame with one-step chemistry.
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