A. Imakura

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The Jacobi iteration is often used for preconditioners with high parallel efficiency of Krylov subspace methods to solve very large linear systems. However, these preconditioners do not always show great improvement of the convergence rate, because of the strict convergence condition and the poor convergence property of the Jacobi iteration. In order to(More)
Recently, an implicit wavelet sparse approximate inverse (IW-SPAI hereafter) preconditioner has been proposed by Hawkins and Chen for nonsymmetric linear systems. The preconditioning matrix of the IW-SPAI is characterized by a special sparse structure, the so-called finger pattern, which makes it possible to construct a good sparse approximate inverse.(More)
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