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Titlebook: Numerical Methods and Applications; 6th International Co Todor Boyanov,Stefka Dimova,Geno Nikolov Conference proceedings 2007 Springer-Verl

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楼主: frustrate
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Quasi-random Walks on Balls Using C.U.D. Sequencesndary value problems. Analysis of a simple problem in this paper showed that c.u.d. sequences achieve better numerical results than pseudorandom numbers, but also have the potential to converge faster and so reduce the computational burden.
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Weighted Iterative Operator-Splitting Methods: Stability-TheoryDE’s. A general stability-theory for linearized operators is proposed and discussed for stiff-problems. Finally we concern the weighted operator-splitting methods for multi-dimensional and multi-physical problems.
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Extended Object Tracking Using Mixture Kalman Filteringsk, two latent indicator variables are proposed, characterising the mode of maneuvering and size type, respectively. The developed Mixture Kalman filter is validated and evaluated by computer simulation.
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Weighted Iterative Operator-Splitting Methods and Applicationsstiff parameters. The benefit of the proposed method is demonstrated with regard to convergence results and comparison to analytical solutions. We provide improved results and convergence rates in comparison with classical operator splitting methods.
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Parallel Incomplete Factorization of 3D NC FEM Elliptic Systemsructed modification . of the original stiffness matrix .. The matrix . preserves the robustness of the point-wise factorisation and has a special block structure allowing parallelization. The performed numerical tests are in agreement with the derived estimates for the parallel times.
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A Hybrid Monte Carlo Method for Simulation of Quantum Transporthe presented algorithm, such as computational complexity and accuracy, are investigated on the Grid by mixing quasi-random numbers and pseudo-random numbers. The numerical results are obtain for a physical model with GaAs material parameters in the case of zero electrical field.
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Multigrid–Based Optimal Shape and Topology Design in Magnetostatics multigrid preconditioning. At the end, we present a sequential coupling of the topology and shape optimization. Numerical results are given for a geometry optimization in 2–dimensional nonlinear magnetostatics.
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