2017
DOI: 10.1016/j.cam.2016.11.030
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On partially inexact HSS iteration methods for the complex symmetric linear systems in space fractional CNLS equations

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Cited by 5 publications
(4 citation statements)
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“…9 for the space variables and the Caputo time-fractional derivative, respectively. Ran et al 10 presented a new preconditioner based on Hermitian and skew-Hermitian splitting (HSS) for Toeplitz-like matrix and proved that Krylov subspace methods with the proposed preconditioners converge very fast. Lei et al 11 used an implicit finite difference scheme to solve high-dimensional two-sided space fractional diffusion equations with variable diffusion coefficients, that is proven to be uniquely solvable, unconditionally stable and first-order convergent in the infinity norm.…”
Section: Andmentioning
confidence: 99%
See 1 more Smart Citation
“…9 for the space variables and the Caputo time-fractional derivative, respectively. Ran et al 10 presented a new preconditioner based on Hermitian and skew-Hermitian splitting (HSS) for Toeplitz-like matrix and proved that Krylov subspace methods with the proposed preconditioners converge very fast. Lei et al 11 used an implicit finite difference scheme to solve high-dimensional two-sided space fractional diffusion equations with variable diffusion coefficients, that is proven to be uniquely solvable, unconditionally stable and first-order convergent in the infinity norm.…”
Section: Andmentioning
confidence: 99%
“…Next, we solve fractional model (6) with Caputo and CF by using the numerical schemes (10) and (11). We focus on the immune response rate ρ.…”
Section: Numerical Simulationsmentioning
confidence: 99%
“…To deal with the matrix ıI + D − T , Ran et al proposed the partially inexact HSS (PIHSS [44]) iteration method, and the HSS-like iteration method [45]. Numerical results in [44] and [45] show that the PIHSS iteration method outperforms the HSS iteration method in terms of computing time, and the HSS-like iteration method has better behavior in terms of both iteration counts and computing time compared with the PIHSS iteration method.…”
Section: Introductionmentioning
confidence: 99%
“…To deal with the matrix ıI + D − T , Ran et al proposed the partially inexact HSS (PIHSS [44]) iteration method, and the HSS-like iteration method [45]. Numerical results in [44] and [45] show that the PIHSS iteration method outperforms the HSS iteration method in terms of computing time, and the HSS-like iteration method has better behavior in terms of both iteration counts and computing time compared with the PIHSS iteration method. In [46], Ran et al came to a conclusion that the HSS-like preconditioner is more efficient than the HSS preconditioner and the AICD preconditioner when they are in conjunction with the Krylov subspace iteration methods.…”
Section: Introductionmentioning
confidence: 99%