2020
DOI: 10.1142/s0219876221500043
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Overlapping Multi-Domain Spectral Method for MHD Mixed Convection Slip Flow Over an Exponentially Decreasing Mainstream with Nonuniform Heat Source/Sink and Convective Boundary Conditions

Abstract: Overlapping multi-domain bivariate spectral quasilinearization method is applied on magnetohydrodynamic mixed convection slip flow over an exponentially decreasing mainstream with convective boundary conditions and nonuniform heat source/sink effects. The method is employed in solving the transformed flow equations. The convergence properties and accuracy of the method are determined. The method gives highly accurate results after few iterations and using few grid points in each space subinterval and the entir… Show more

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Cited by 11 publications
(3 citation statements)
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“…According to Yang et al, 58 the method becomes very complicated if the number of collocation points is varied in each subdomain. Second, the length of each subdomain must fixed if linear transformation is used, which appears in many studies 53–56 as follows: MJX-tex-caligraphicscriptL=ηmaxP+(1P)1cosπMη2. ${\mathscr{L}}=\frac{{\eta }_{\max }}{P+(1-P)\left(1-\cos \frac{\pi }{{M}_{\eta }}\right)\unicode{x02215}2}.$…”
Section: Solution Of the Problemmentioning
confidence: 99%
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“…According to Yang et al, 58 the method becomes very complicated if the number of collocation points is varied in each subdomain. Second, the length of each subdomain must fixed if linear transformation is used, which appears in many studies 53–56 as follows: MJX-tex-caligraphicscriptL=ηmaxP+(1P)1cosπMη2. ${\mathscr{L}}=\frac{{\eta }_{\max }}{P+(1-P)\left(1-\cos \frac{\pi }{{M}_{\eta }}\right)\unicode{x02215}2}.$…”
Section: Solution Of the Problemmentioning
confidence: 99%
“…Recently, researchers 14,[53][54][55][56][57] tried to circumvent these limitations by implementing the overlapping grid idea with spectral collocation methods to ensure accuracy, stability, and computational efficiency are maintained when solving differential equations defined on large computational domains. These techniques are very powerful methods for the numerical computation of solutions to nonlinear boundary value problems.…”
Section: Solution Of the Problemmentioning
confidence: 99%
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