2013
DOI: 10.1080/00207160.2012.718072
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A novel class of block methods based on the blockAAT-Lanczos bi-orthogonalization process for matrix equations

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Cited by 5 publications
(10 citation statements)
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“…Due to simple calculations and less information required, block Krylov subspace methods are always designed to solve system (1) efficiently [3,4]. Recently, Tadano et al presented the block conjugate orthogonal conjugate gradient (BCOCG) method [5], which can exploit the symmetry of A naturally.…”
Section: Introductionmentioning
confidence: 99%
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“…Due to simple calculations and less information required, block Krylov subspace methods are always designed to solve system (1) efficiently [3,4]. Recently, Tadano et al presented the block conjugate orthogonal conjugate gradient (BCOCG) method [5], which can exploit the symmetry of A naturally.…”
Section: Introductionmentioning
confidence: 99%
“…Due to simple calculations and less information required, block Krylov subspace methods are always designed to solve system (1) efficiently [3,4]. Recently, Tadano et al presented the block conjugate orthogonal conjugate gradient (BCOCG) method [5], which can exploit the symmetry of A naturally. The BCOCG is also deemed a natural generalization of the conjugate orthogonal conjugate gradient (COCG) method [6][7][8] for solving systems (1).…”
Section: Introductionmentioning
confidence: 99%
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“…As one of Block Krylov subspace methods, the Block Bi-Conjugate Residual (BiCR) method [6] has been proposed by Zhang et al This method is a natural extension of the BiCR method [7] for linear systems with single right-hand side proposed by Sogabe et al The Block BiCR method often shows smooth convergence behavior compared with the Block BiCG method. However, the accuracy of the approximate solution generated by the Block BiCR method may deteriorate due to an error matrix that arises from the matrix multiplication with respect to the coefficient matrix A.…”
Section: Introductionmentioning
confidence: 99%