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Parallel Arnoldi Method for the Construction of a Krylov Subspace Basis: AnApplication in Magnetohydrodynamics

机译:并行arnoldi方法构造Krylov子空间基础:在磁流体动力学中的应用

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In a recent article by Paige et al, a new method was proposed for computinginternal eigenvalues of symmetric matrices. In the present paper, we extend these ideas to non-hermitian eigenvalue problems and apply them to a practical example from the field of magnetohydrodynamics (MHD). The method is very suitable for an efficient parallel implementation. We give some results for the time-consuming kernels of the underlying orthogonalization process, the Arnoldi method, obtained for an MHD problem on a distributed memory multiprocessor.

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