Stability Properties of Repeated Richardson Extrapolation Applied Together with Some Implicit Runge-Kutta Methods

2019 ◽  
pp. 114-125
Author(s):  
Zahari Zlatev ◽  
Ivan Dimov ◽  
István Faragó ◽  
Krassimir Georgiev ◽  
Ágnes Havasi
Keyword(s):  
Richardson Extrapolation ◽  
Stability Properties ◽  
Runge Kutta

Stability Properties of Implicit Runge–Kutta Methods

1985 ◽  
Vol 22 (3) ◽  
pp. 497-514 ◽  
Author(s):  
Reinhard Frank ◽  
Josef Schneid ◽  
Christoph W. Ueberhuber
Keyword(s):  
Stability Properties ◽  
Runge Kutta

scholarly journals Linear Stability Analysis of Runge–Kutta-Based Partial Time-Splitting Schemes for the Euler Equations

2010 ◽  
Vol 138 (12) ◽  
pp. 4475-4496 ◽  
Author(s):  
Michael Baldauf
Keyword(s):  
Stability Analysis ◽  
Euler Equations ◽  
Simulation Models ◽  
Euler System ◽  
Splitting Schemes ◽  
Stability Properties ◽  
Compressible Euler ◽  
Numerical Stability Analysis ◽  
Time Splitting ◽  
Runge Kutta

Abstract For atmospheric simulation models with resolutions from about 10 km to the subkilometer cloud-resolving scale, the complete nonhydrostatic compressible Euler equations are often used. An important integration technique for them is the time-splitting (or split explicit) method. This article presents a comprehensive numerical stability analysis of Runge–Kutta (RK)-based partial time-splitting schemes. To this purpose a linearized two-dimensional (2D) compressible Euler system containing advection (as the slow process), sound, and gravity wave terms (as fast processes) is considered. These processes are the most important ones in limiting stability. First, the detailed stability properties are discussed with regard to several off-centering weights for each fast process described by horizontally explicit, vertically implicit schemes. Then the stability properties of the temporally and spatially discretized three-stage RK scheme for the complete 2D Euler equations and their stabilization (e.g., by divergence damping) are discussed. The main goal is to find optimal values for all of the occurring numerical parameters to guarantee stability in operational model applications. Furthermore, formal orders of temporal truncation errors for the time-splitting schemes are calculated. With the same methodology, two alternatives to the three-stage RK method, a so-called RK3-TVD method, and a new four-stage, second-order RK method are inspected.

scholarly journals The convergence of diagonally implicit Runge–Kutta methods combined with Richardson extrapolation

2013 ◽  
Vol 65 (3) ◽  
pp. 395-401 ◽  
Author(s):  
István Faragó ◽  
Ágnes Havasi ◽  
Zahari Zlatev
Keyword(s):  
Richardson Extrapolation ◽  
Runge Kutta
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