We develop two Runge-Kutta characteristic methods for the solution of the initial-boundary value problems for first-order linear hyperbolic equations. One of the methods is based on a backtracking of the characteristics, while the other is based on forward tracking. The derived schemes naturally inc
Optimal Runge–Kutta Methods for First Order Pseudospectral Operators
✍ Scribed by J.L Mead; R.A Renaut
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 132 KB
- Volume
- 152
- Category
- Article
- ISSN
- 0021-9991
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✦ Synopsis
New Runge-Kutta methods for method of lines solution of systems of ordinary differential equations arising from discretizations of spatial derivatives in hyperbolic equations, by Chebyshev or modified Chebyshev methods, are introduced. These Runge-Kutta methods optimize the time step necessary for stable solutions, while holding dispersion and dissipation fixed. It is found that maximizing dispersion minimizes dissipation, and vice versa. Optimal methods with respect to large stability intervals on the imaginary axis and with respect to the eigenvalue spectra of the underlying pseudospectral discretizations are developed. In the latter case, stability regions are optimized to include the outliers of the spatial operators. Performance on a model problem in computational aeroacoustics is evaluated. The optimized schemes have two more function evaluations per timestep than the standard fourth order Runge-Kutta method, but allow timesteps up to 1.7 times larger. Moreover, dissipation and dispersion are reduced.
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