Strong-stability-preserving additive linear multistep methods
Numerical Analysis
2022-04-05 v2
Abstract
The analysis of strong-stability-preserving (SSP) linear multistep methods is extended to semi-discretized problems for which different terms on the right-hand side satisfy different forward Euler (or circle) conditions. Optimal additive and perturbed monotonicity-preserving linear multistep methods are studied in the context of such problems. Optimal perturbed methods attain larger monotonicity-preserving step sizes when the different forward Euler conditions are taken into account. On the other hand, we show that optimal SSP additive methods achieve a monotonicity-preserving step-size restriction no better than that of the corresponding non-additive SSP linear multistep methods.
Cite
@article{arxiv.1601.03637,
title = {Strong-stability-preserving additive linear multistep methods},
author = {Yiannis Hadjimichael and David I. Ketcheson},
journal= {arXiv preprint arXiv:1601.03637},
year = {2022}
}
Comments
23 pages, 3 figures