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A hybridized iterative algorithm of the BiCORSTAB and GPBiCOR methods for solving non-Hermitian linear systems

机译:求解非埃尔米特线性系统的BiCORSTAB和GPBiCOR方法的混合迭代算法

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In this study, we derive a new iterative algorithm (including its preconditioned version) which is a hybridized variant of the biconjugate A-orthogonal residual stabilized (BiCORSTAB) method and the generalized product-type solvers based on BiCOR (GPBiCOR) method. The proposed method, which is named GPBiCOR(m, l) similarly to the GPBiCG(m, l) method proposed by Fujino (2002), can be regarded as an extension of the BiCORSTAB2 method introduced by Zhao and Huang (2013). Inspired by Fujino's idea for improving the BiCGSTAB2 method, in the established GPBiCOR(m, l) method the parameters computed by the BiCORSTAB method are chosen at successive m iteration steps, and afterwards the parameters of the GPBiCOR method are utilized in the subsequent l iteration steps. Therefore, the proposed method can inherit the low computational cost of BiCORSTAB and the attractive convergence of GPBiCOR Extensive numerical convergence results on selected real and complex matrices are shown to assess the performances of the proposed GPBiCOR(m, l) method, also against other popular non-Hermitian Krylov sub-space methods. (C) 2015 Elsevier Ltd. All rights reserved.
机译:在这项研究中,我们导出了一种新的迭代算法(包括其预处理版本),该算法是双共轭A正交残差稳定(BiCORSTAB)方法和基于BiCOR(GPBiCOR)方法的广义乘积型求解器的混合变体。与Fujino(2002)提出的GPBiCG(m,l)方法类似,该方法被命名为GPBiCOR(m,l),可以看作是Zhao和Huang(2013)引入的BiCORSTAB2方法的扩展。受藤野(Fujino)改进BiCGSTAB2方法的想法的启发,在已建立的GPBiCOR(m,l)方法中,在连续的m个迭代步骤中选择由BiCORSTAB方法计算的参数,然后在后续的l个迭代中使用GPBiCOR方法的参数。脚步。因此,所提出的方法可以继承BiCORSTAB的低计算量,并且GPBiCOR的吸引人的收敛性在选定的实矩阵和复杂矩阵上的大量数值收敛结果表明,可以评估所提出的GPBiCOR(m,l)方法的性能,同时也与其他流行方法不符。非Hermitian Krylov子空间方法。 (C)2015 Elsevier Ltd.保留所有权利。

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