2016
DOI: 10.1016/j.amc.2015.12.020
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Quadratic spline collocation method for the time fractional subdiffusion equation

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Cited by 33 publications
(22 citation statements)
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References 31 publications
(44 reference statements)
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“…[6][7][8]. In these models, the fractional diffusion equation (FDE) has been studied by many researchers, see [9][10][11][12][13][14][15][16][17][18] and references therein.…”
Section: Introductionmentioning
confidence: 99%
“…[6][7][8]. In these models, the fractional diffusion equation (FDE) has been studied by many researchers, see [9][10][11][12][13][14][15][16][17][18] and references therein.…”
Section: Introductionmentioning
confidence: 99%
“…To avoid the singular matrix, the initial time collocation point τ 1 is replaced by an extra parameter θ ∈ (0, 1 2 ) in [16]. The contribution of the present paper is to extend the QSC method [16] to solve the fractional bioheat equation with mixed boundary value conditions for thermal therapy. This new introduced method does not need any extra parameter, and the obtained matrix is still nonsingular.…”
Section: Introductionmentioning
confidence: 99%
“…In these literatures, the studied models covering the QSC methods are mostly related to the integer order equations. Recently, Luo et al [16] exploited the QSC method to solve the time fractional subdiffusion equation with Dirichlet boundary value conditions, where the authors established a novel collocation method via taking the quadratic spline polynomials as basic functions, and found the proposed technique can enjoy the global error bound of O(τ 3 + h 3 ) and fourth-order accuracy at collocation points. To avoid the singular matrix, the initial time collocation point τ 1 is replaced by an extra parameter θ ∈ (0, 1 2 ) in [16].…”
Section: Introductionmentioning
confidence: 99%
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“…The aim of [23] is to numerically solve the time fractional subdiffusion equation with Dirichelt boundary value conditions by use of the collocation method based on quadratic spline. In the paper, the authors explore, in details, the co-efficient matrix of the discretized linear system.…”
Section: Introductionmentioning
confidence: 99%