Abstract
In our previous paper [3], the performance of a variable step-size implementation of Parallel Iterated Methods based on Multistep Runge-Kutta methods (PIMRK) is far from satisfactory. This is due to the fact that the underlying parameters of the Multistep Runge-Kutta (MRK) method, and the splitting matrices W that are needed to solve the nonlinear system are designed on a fixed step-size basis. Similar unsatisfactory results based on this method were also noted by Schneider [12], who showed that the method is only suitable when the step-size does not vary too often. In this paper, we design the Variable step-size Multistep Runge-Kutta (VMRK) method as the underlying formula for Parallel Iterated methods. The numerical results show that Parallel Iterated Variable step-size MRK (PIVMRK) methods improve substantially on the PIMRK methods and are usually competitive with Parallel Iterated Runge-Kutta methods (PIRKs).
Original language | English |
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Pages (from-to) | 257-270 |
Number of pages | 14 |
Journal | Advances in Computational Mathematics |
Volume | 13 |
Issue number | 3 |
Publication status | Published - 2000 |