Runge-Kutta methods and local uniform grid refinement:

Abstract: "Local uniform grid refinement (LUGR) is an adaptive grid technique for computing solutions of partial differential equations possessing sharp spatial transitions. Using nested, finer-and-finer uniform subgrids, the LUGR technique refines the space grid locally around these transition...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Trompert, Ron A. (VerfasserIn), Verwer, Jan (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Amsterdam 1990
Schriftenreihe:Centrum voor Wiskunde en Informatica <Amsterdam> / Afdeling Numerieke Wiskunde: Report NM 1990,22
Schlagworte:
Zusammenfassung:Abstract: "Local uniform grid refinement (LUGR) is an adaptive grid technique for computing solutions of partial differential equations possessing sharp spatial transitions. Using nested, finer-and-finer uniform subgrids, the LUGR technique refines the space grid locally around these transitions, so as to avoid discretization on a very fine grid covering the entire physical domain. This paper examines the LUGR technique for time-dependent problems when combined with static-regridding. Static-regridding means that in the course of the time evolution, the space grid is adapted at discrete times. The present paper considers the general class of Runge-Kutta methods for the numerical time integration
Following the method of lines approach, we develop a mathematical framework for the general Runge-Kutta LUGR method applied to multi-space dimensional problems. We hereby focus on parabolic problems, but a considerable part of the examination applies to hyperbolic problems as well. Much attention is paid to the local error analysis. The central issue here is a 'refinement condition' which is to underly the refinement strategy. By obeying this condition, spatial interpolation errors are controlled in a manner that the spatial accuracy obtained is comparable to the spatial accuracy on the finest grid if this grid would be used without any adaptation
A diagonally-implicit Runge-Kutta method is discussed for illustration purposes, both theoretically and numerically.
Beschreibung:50 S.

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