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2016 | OriginalPaper | Buchkapitel

Block Variants of the COCG and COCR Methods for Solving Complex Symmetric Linear Systems with Multiple Right-Hand Sides

verfasst von : Xian-Ming Gu, Bruno Carpentieri, Ting-Zhu Huang, Jing Meng

Erschienen in: Numerical Mathematics and Advanced Applications ENUMATH 2015

Verlag: Springer International Publishing

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Abstract

In the present study, we establish two new block variants of the Conjugate Orthogonal Conjugate Gradient (COCG) and the Conjugate A-Orthogonal Conjugate Residual (COCR) Krylov subspace methods for solving complex symmetric linear systems with multiple right hand sides. The proposed Block iterative solvers can fully exploit the complex symmetry property of coefficient matrix of the linear system. We report on extensive numerical experiments to show the favourable convergence properties of our newly developed Block algorithms for solving realistic electromagnetic simulations.

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Fußnoten
1
For our practical implementation, we use MATLAB qr-function “qr(W,0)” for a given matrix \(W \in \mathbb{C}^{n\times p}\).
 
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Metadaten
Titel
Block Variants of the COCG and COCR Methods for Solving Complex Symmetric Linear Systems with Multiple Right-Hand Sides
verfasst von
Xian-Ming Gu
Bruno Carpentieri
Ting-Zhu Huang
Jing Meng
Copyright-Jahr
2016
DOI
https://doi.org/10.1007/978-3-319-39929-4_30