2022
DOI: 10.1007/s11075-022-01293-z
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Linearly compact scheme for 2D Sobolev equation with Burgers’ type nonlinearity

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Cited by 18 publications
(3 citation statements)
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“…So far, it is well known that the compact difference scheme has an impressive advantage due to its small stencil and better accuracy. Many related works can be refereed, such as [20] for the Cahn-Hilliard equation, [22,23] for nonlinear Burgers-type equations, and [24] for nonlinear time-fractional biharmonic problem. Huang and Gao [25] developed several compact difference schemes to solve the fourth-order parabolic equation with the third Dirichlet boundary conditions.…”
Section: Introductionmentioning
confidence: 99%
“…So far, it is well known that the compact difference scheme has an impressive advantage due to its small stencil and better accuracy. Many related works can be refereed, such as [20] for the Cahn-Hilliard equation, [22,23] for nonlinear Burgers-type equations, and [24] for nonlinear time-fractional biharmonic problem. Huang and Gao [25] developed several compact difference schemes to solve the fourth-order parabolic equation with the third Dirichlet boundary conditions.…”
Section: Introductionmentioning
confidence: 99%
“…Retrieving the analytical solutions for FDEs is sometimes difficult to achieve due to the computational complexities of fractional operators. In this respect, numerous methods have been constructed and motivated to investigate the approximate solution for FDEs, among which are the Sinc-collocation method [27], the predictor-corrector compact difference scheme [28], the variational iteration method [29], the homotopy analysis technique [30], the homotopy asymptotic method [31], the homotopy perturbation scheme [32], the differential transform method [33], the linearly compact scheme [34], the Adomian decomposition method [35] etc.…”
Section: Introductionmentioning
confidence: 99%
“…In recent decades, fractional calculus has increased interest in a variety of science and engineering problems. Fractional partial differential equations (FPDEs) make it easy to solve numerous types of physical phenomena, notably elasticity, bloodstream fluid, solid geometry, optic fibers, processing of signals, radiation, hydrodynamics, medical science, and the process of diffusion [1][2][3][4][5] . The majority of FPDEs can not be solved precisely.…”
mentioning
confidence: 99%