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A spectral projection preconditioner for solving ill conditioned linear systems

机译:用于解决病态线性系统的光谱投影预处理器

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We present a preconditioner based on spectral projection that is combined with a deflated Krylov subspace method for solving ill conditioned linear systems of equations. Our results show that the proposed algorithm requires many fewer iterations to achieve the convergence criterion for solving an ill conditioned problem than a Krylov subspace solver. In our numerical experiments, the solution obtained by the proposed algorithm is more accurate in terms of the norm of the distance to the exact solution of the linear system of equations. (C) 2017 Elsevier B.V. All rights reserved.
机译:我们提出了一种基于频谱投影的预处理器,该预处理器与放气的Krylov子空间方法相结合来求解病态线性方程组。我们的结果表明,与Krylov子空间求解器相比,该算法所需的迭代次数更少,以实现收敛条件以解决病态问题。在我们的数值实验中,在距离方程线性系统精确解的距离范数方面,通过该算法获得的解更准确。 (C)2017 Elsevier B.V.保留所有权利。

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