2018
DOI: 10.4208/nmtma.2018.s09
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A Separable Preconditioner for Time-Space Fractional Caputo-Riesz Diffusion Equations

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Cited by 16 publications
(8 citation statements)
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“…In Ref. 7 Lin et al have proposed the SEP preconditioner for linear systems, arising from discretization of time-space fractional Caputo-Riesz diffusion equation, with such structure so that the Krylov subspace method for these preconditioned linear systems converges fast and independently on both temporal and spatial mesh parameters. Sheng et al 8 proposed a hybrid spectral element method for fractional two-point boundary value problem (FBVPs) involving both Caputo and Riemann-Liouville (RL) fractional derivatives.…”
Section: Andmentioning
confidence: 99%
“…In Ref. 7 Lin et al have proposed the SEP preconditioner for linear systems, arising from discretization of time-space fractional Caputo-Riesz diffusion equation, with such structure so that the Krylov subspace method for these preconditioned linear systems converges fast and independently on both temporal and spatial mesh parameters. Sheng et al 8 proposed a hybrid spectral element method for fractional two-point boundary value problem (FBVPs) involving both Caputo and Riemann-Liouville (RL) fractional derivatives.…”
Section: Andmentioning
confidence: 99%
“…Nguyen et al settled a terminal value problem for time fractional diffusion equation by using regularization [26]. In addition, more researchers have found other numerical schemes such as the finite element method and others [12,15,18,33,35,37,46,52]. Zhou et al structured a weak Galerkin finite element method for multi-term time fractional diffusion equations [52].…”
Section: Introductionmentioning
confidence: 99%
“…Zhou et al structured a weak Galerkin finite element method for multi-term time fractional diffusion equations [52]. Lin et al obtained a separable freconditioner for time-space fractional Caputo-Riesz diffusion equations [18]. Sheng and Shen proposed a space-time Petrov-Galerkin spectral method for time fractional diffusion equation [33].…”
Section: Introductionmentioning
confidence: 99%
“…This scheme efficiently reduces the computational storage and cost for solving the time FDEs. Although there are many studies on the space/time FDEs, numerical studies on space-time FDEs are still not extensive, the readers are suggested to see [11,[38][39][40] and references therein.…”
Section: Introductionmentioning
confidence: 99%