Titlebook: Domain Decomposition Methods in Science and Engineering XVII; Ulrich Langer,Marco Discacciati,Walter Zulehner Conference proceedings 2008

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Scalable BETI for Variational Inequalities domain decomposition methods for elliptic partial differential equations and our recent results on quadratic programming. The results of the numerical solution of a semicoercive model problem are given that are in agreement with the theory and illustrate the numerical scalability of our algorithm.

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Mara Welsh Mahmood,Marjorie Elaine,John Canos has shown to perform well when using adjoint based techniques or evolutionary algorithms for the optimization..The above methodology is applied to the simulation and shape design optimization for flows in nozzles and around aerodynamical shapes.The results of various numerical experiments show the efficiency of the method presented here.

線(xiàn)

Daniela Nussbaumer,Chantal Deusstimal control problem, and then introduce a non-overlapping iterative domain decomposition method, which is based on Robin-type interface updates at multiple joints (edges). We prove convergence of the iteration and derive a posteriori error estimates with respect to the iteration across the interfaces.

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Unsupervised and Semi-Supervised Learningelliptic problems discretized by the DG (discontinuous Galerkin) method, whereas the second one deals with a new auxiliary space preconditioning method for (semi—)definite time domain Maxwell (.(curl)) problems.

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