Abstract
This paper describes a method for solving hyperbolic partial differential equations using an adaptive grid: the spatial derivatives are discretised with a finite volume method on a grid which is structured and partitioned into blocks which may be refined and derefined as the solution evolves. The solution is advanced in time via a backward differentiation formula. The discretisation used is second-order accurate and stable on Cartesian grids. The resulting system of linear equations is solved by GMRES at every time-step with the convergence of the iteration being accelerated by a semi-Toeplitz preconditioner. The efficiency of this preconditioning technique is analysed and numerical experiments are presented which illustrate the behaviour of the method on a parallel computer.
Original language | English |
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Pages (from-to) | 269-289 |
Number of pages | 20 |
Journal | Journal of Computational and Applied Mathematics |
Volume | 194 |
Issue number | 2 |
DOIs | |
Publication status | Published - Sep 2004 |
Keywords
- finite volume method
- linear multistep method
- adaptivity
- semi-toeplitz preconditioning
- GMRES
- parallel computation