2020
DOI: 10.1007/s12591-020-00527-7
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Second Order Compact Difference Scheme for Time Fractional Sub-diffusion Fourth-Order Neutral Delay Differential Equations

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Cited by 8 publications
(2 citation statements)
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“…Nandal and Pandey [21] proposed a linearized second‐order numerical method for solving the fourth‐order distributed‐fractional subdiffusion differential equation with time delay. In [22], a compact difference scheme was derived and analyzed for the time‐fractional subdiffusion fourth‐order neutral delay differential equations. Zhang and Pu [38] discussed the compact difference scheme for the fourth‐order fractional subdiffusion equation and the extension to the two‐dimensional problem was also considered.…”
Section: Introductionmentioning
confidence: 99%
“…Nandal and Pandey [21] proposed a linearized second‐order numerical method for solving the fourth‐order distributed‐fractional subdiffusion differential equation with time delay. In [22], a compact difference scheme was derived and analyzed for the time‐fractional subdiffusion fourth‐order neutral delay differential equations. Zhang and Pu [38] discussed the compact difference scheme for the fourth‐order fractional subdiffusion equation and the extension to the two‐dimensional problem was also considered.…”
Section: Introductionmentioning
confidence: 99%
“…Another numerical way is to reduce the order of the original fourth-order problem in space by introducing the second derivative of the unknown function as an auxiliary function and transform it into an equivalent second-order differential system, where the values of the unknown function and the introduced auxiliary function are both given at the boundary; hence, no special consideration will be needed at the boundary for numerical approximation. The authors adopted this numerical way in [14][15][16] to construct effective difference schemes for solving the nonlinear fourth-order reaction-diffusion equation, the fourth-order time-fractional wave equation and time-fractional subdiffusion fourth-order neutral delay differential equations, respectively.…”
Section: Introductionmentioning
confidence: 99%