2016
DOI: 10.1016/j.compfluid.2016.05.002
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Fourth order compact schemes for variable coefficient parabolic problems with mixed derivatives

Abstract: In this article, we have developed a higher order compact numerical method for variable coefficient parabolic problems with mixed derivatives. The finite difference scheme, presented here for two-dimensional domains, is based on fourth order spatial discretization. The time discretization has been carried out using using second order Crank-Nicolson. The present scheme shows good dispersion relation preserving property and has been thoroughly investigated for stability. The discrete Fourier analysis shows that … Show more

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Cited by 11 publications
(9 citation statements)
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“…In Eqs. (19) and (27), the identity matrix I cannot be directly added to the incremental matrix T o . T o is a tiny matrix (this is a matrix whose elements all approach zero).…”
Section: N Algorithm Of the Exponential Matrixmentioning
confidence: 99%
See 1 more Smart Citation
“…In Eqs. (19) and (27), the identity matrix I cannot be directly added to the incremental matrix T o . T o is a tiny matrix (this is a matrix whose elements all approach zero).…”
Section: N Algorithm Of the Exponential Matrixmentioning
confidence: 99%
“…However, these compact finite-difference schemes are not asymptotically stable on uniform grids. The fourth-order exact compact difference scheme for mixed derivative parabolic problems with variable coefficients discussed by Sen [18,19] provides a viable scheme for this paper. Gordin [20] applied the Richardson extrapolation method to improve a fourth-order CFDS to sixth order in 1D parabolic equations and Schrödinger-type equations.…”
Section: Introductionmentioning
confidence: 99%
“…In that same year, Kumar [29] discussed a high-order compact difference scheme for singularly perturbed reaction diffusion problems on a new Shish Kin mesh. Sen [30,31] discussed the fourth-order exact compact difference scheme for mixed derivative parabolic problems with variable coefficients.…”
mentioning
confidence: 99%
“…In order to verify the effectiveness of the improvement proposed above, we consider the system of two-dimensional Burgers' equations(6) proposed in Sec. 2.2.2, over a square domain [0, 1] × [0, 1], with the initial and boundary conditions(31) and the analytical solutionu(x, y, t) = 2πω ∞ α,β=0 αC αβ exp[−(α 2 +β 2 )π 2 ωt] sin(απx) cos(βπy) ∞ α,β=0 C αβ exp[−(α 2 +β 2 )π 2 ωt] cos(απx) cos(βπy) v(x, y, t) = 2πω ∞ α,β=0 βC αβ exp[−(α 2 +β 2 )π 2 ωt]cos(απx) sin(βπy) ∞ α,β=0C αβ exp[−(α 2 +β 2 )π 2 ωt] cos(απx) cos(βπy) (107) The numerical and analytical solutions of two-dimensional examples are present in Tables 16,17 with Re = 100 and τ = 5 × 10 −5 . The numerical solutions of the different time are presented in Figs.…”
mentioning
confidence: 99%
“…These terms cause a numerical dispersion and dissipation in the solution[4,5,6,7]. The use of Fourier analysis for assessing the numerical dispersion and dissipation of schemes, also named as the modified wavenumber approach, is widespread[8,9,10,11]. The numerical behaviour of CIR will be explored next by carrying out a modified wavenumber study.…”
mentioning
confidence: 99%