English

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.

Keywords

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

R2 v1 2026-06-22T12:29:31.006Z