Multi-rate Runge-Kutta methods: stability analysis and applications
<|reference_start|>Multi-rate Runge-Kutta methods: stability analysis and applications: We present an approach for the efficient implementation of self-adjusting multi-rate Runge-Kutta methods and we extend the previously available stability analyses of these methods to the case of an arbitrary number of sub-steps for the active components. We propose a physically motivated model problem that can be used to assess the stability of different multi-rate versions of standard Runge-Kutta methods and the impact of different interpolation methods for the latent variables. Finally, we present the results of several numerical experiments, performed with implementations of the proposed methods in the framework of the \textit{OpenModelica} open-source modelling and simulation software, which demonstrate the efficiency gains deriving from the use of the proposed multi-rate approach for physical modelling problems with multiple time scales.<|reference_end|>
@article{bachmann2024multi-rate,
    title={Multi-rate Runge-Kutta methods: stability analysis and applications},
    author={Bernhard Bachmann and Luca Bonaventura and Francesco Casella and
  Soledad Fern'andez-Garc'ia and Macarena G'omez-M'armol},
    journal={arXiv preprint arXiv:2405.02139},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.02139},
    primaryClass={math.NA cs.NA}
}