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On short recurrence Krylov type method's for linear systems with many right-hand sides

机译:关于具有多个右手边的线性系统的短递归Krylov型方法

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Block and global Krylov subspace methods have been proposed as methods adapted to the situation where one iteratively solves systems with the same matrix and several right hand sides. These methods are advantageous, since they allow to cast the major part of the arithmetic in terms of matrix-block vector products, and since, in the block case, they take their iterates from a potentially richer subspace. In this paper we consider the most established Krylov subspace methods which rely on short recurrences, i.e. BiCG, QMR and BiCGStab. We propose modifications of their block variants which increase numerical stability, thus at least partly curing a problem previously observed by several authors. Moreover, we develop modifications of the "global" variants which almost halve the number of matrix vector multiplications. We present a discussion as well as numerical evidence which both indicate that the additional work present in the block methods can be substantial, and that the new "economic" versions of the "global" BiCG and QMR method can be considered as good alternatives to the BiCGStab variants. (C) 2015 Elsevier B.V. All rights reserved.
机译:提出了块和全局Krylov子空间方法,以适应一种迭代求解具有相同矩阵和多个右侧的系统的情况。这些方法是有利的,因为它们允许将算法的主要部分转换为矩阵块向量乘积,并且由于在块的情况下,它们从可能更丰富的子空间中进行迭代。在本文中,我们考虑了依赖短循环的最成熟的Krylov子空间方法,即BiCG,QMR和BiCGStab。我们提出对其嵌段变体的修饰,以增加数值稳定性,从而至少部分地解决先前由几位作者观察到的问题。此外,我们开发了“全局”变体的修改形式,几乎使矩阵矢量乘法的次数减少了一半。我们提供了一个讨论以及数值证据,均表明块法中存在的额外工作可能是巨大的,并且“全局” BiCG和QMR方法的新“经济”版本可以被认为是替代方法的良好替代方案。 BiCGStab变体。 (C)2015 Elsevier B.V.保留所有权利。

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