Exponential time difference methods with spatial exponential approximations for solving boundary layer problems

Abstract In this work, an efficient and stable exponential time difference method is presented for solving boundary layer problems. By combining exponential time difference schemes with spatial direct discontinuous Galerkin discretization based on exponential boundary layer approximations, the proposed algorithm not only may admit large time step sizes but also could provide good spatial approximations even if on rather coarse spatial grids in the boundary layer. Some energy stabilities of the numerical scheme are rigorously derived. Numerical examples illustrate the accuracy, stability and efficiency of the algorithm.

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Publication Details

Journal
Numerical Methods for Partial Differential Equations
Published
2024-08-25
DOI
https://doi.org/10.1002/num.23145
Primary Topic
Differential Equations and Numerical Methods
Type
article
Field-Weighted Citation Impact
0.00

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Exponential time difference methods with spatial exponential approximations for solving boundary layer problems

Tianzheng Lu, Xinwei Wang, Liyong Zhu
Numerical Methods for Partial Differential Equations
Differential Equations and Numerical Methods
article

Exponential time difference methods with spatial exponential approximations for solving boundary layer problems

Tianzheng Lu, Xinwei Wang, Liyong Zhu
article en

Abstract

Abstract In this work, an efficient and stable exponential time difference method is presented for solving boundary layer problems. By combining exponential time difference schemes with spatial direct discontinuous Galerkin discretization based on exponential boundary layer approximations, the proposed algorithm not only may admit large time step sizes but also could provide good spatial approximations even if on rather coarse spatial grids in the boundary layer. Some energy stabilities of the numerical scheme are rigorously derived. Numerical examples illustrate the accuracy, stability and efficiency of the algorithm.

Numerical Methods for Partial Differential EquationsVol. 40(6)
Beihang University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 78%
Differential Equations and Numerical Methods
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