2022
DOI: 10.1016/j.apnum.2022.05.006
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Comparison of exponential integrators and traditional time integration schemes for the shallow water equations

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Cited by 7 publications
(5 citation statements)
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“…This is one of the inherent advantages of our method that the stability of the system of ODEs is driven only by the underlying constant matrix and is not influenced by an additional effect from any time discretisation in the model. For a detailed stability analysis of solving such a special system of equations through a method of exponential integrators, the reader can refer to Brachet et al (2020) and Buvoli and Minion (2022).…”
Section: Study Of Convergence and Stabilitymentioning
confidence: 99%
“…This is one of the inherent advantages of our method that the stability of the system of ODEs is driven only by the underlying constant matrix and is not influenced by an additional effect from any time discretisation in the model. For a detailed stability analysis of solving such a special system of equations through a method of exponential integrators, the reader can refer to Brachet et al (2020) and Buvoli and Minion (2022).…”
Section: Study Of Convergence and Stabilitymentioning
confidence: 99%
“…A particular class of methods, known as time exponential integrators, have been shown to outperform classical schemes in several partial differential equation (PDE) models from several applied areas in terms of accuracy and computational performance (e.g., [7,10,19,24,26,31]). Such methods are known to accurately describe the solution of linear waves and, therefore, seem like natural candidates for seismic wave propagation problems.…”
mentioning
confidence: 99%
“…A particular class of methods, known as exponential integrators, have been shown to outperform classical schemes in several partial differential equations (PDEs) models from several applied areas in terms of accuracy and computational performance (e.g., [9,14,28,34,36,44]). For the specific case of linear differential equations, there have been developed specialized exponential integrators.…”
Section: Chaptermentioning
confidence: 99%
“…To approximate the solutions using Faber polynomials, we define a spatial step size ∆x = 0.0025 for the 1D examples and ∆x = 0.02 for the 2D examples and use a finite difference scheme with 4th and 8th spatial order. For comparison purposes, we use a nine-stage seventh-order temporal Runge-Kutta scheme RK (9,7) recommended for hyperbolic problems (see Calvo et al [11])) with a small time-step size (∆t = ∆x/(8c max )), where c max is the maximum velocity. The formulas of the RK(9-7) algorithm are presented in Appendix A.6.…”
Section: Convergence and Efficiencymentioning
confidence: 99%
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