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Self-Adjusting Multi-Rate Runge-Kutta Methods: Analysis and Efficient Implementation in An Open Source Framework

B. Bachmann, L. Bonaventura, F. Casella, S. Fernández-García, M. Gómez-Mármol, P. Hannebohm, Journal of Scientific Computing 105 (2025).

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Bachmann, BernhardFH Bielefeld ; Bonaventura, Luca; Casella, Francesco; Fernández-García, Soledad; Gómez-Mármol, Macarena; Hannebohm, PhilipFH Bielefeld
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Zeitschriftentitel
Journal of Scientific Computing
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105
Zeitschriftennummer
1
Artikelnummer
30
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Bachmann, Bernhard ; Bonaventura, Luca ; Casella, Francesco ; Fernández-García, Soledad ; Gómez-Mármol, Macarena ; Hannebohm, Philip: Self-Adjusting Multi-Rate Runge-Kutta Methods: Analysis and Efficient Implementation in An Open Source Framework. In: Journal of Scientific Computing Bd. 105, Springer Science and Business Media LLC (2025), Nr. 1
Bachmann B, Bonaventura L, Casella F, Fernández-García S, Gómez-Mármol M, Hannebohm P. Self-Adjusting Multi-Rate Runge-Kutta Methods: Analysis and Efficient Implementation in An Open Source Framework. Journal of Scientific Computing. 2025;105(1). doi:10.1007/s10915-025-03049-y
Bachmann, B., Bonaventura, L., Casella, F., Fernández-García, S., Gómez-Mármol, M., & Hannebohm, P. (2025). Self-Adjusting Multi-Rate Runge-Kutta Methods: Analysis and Efficient Implementation in An Open Source Framework. Journal of Scientific Computing, 105(1). https://doi.org/10.1007/s10915-025-03049-y
@article{Bachmann_Bonaventura_Casella_Fernández-García_Gómez-Mármol_Hannebohm_2025, title={Self-Adjusting Multi-Rate Runge-Kutta Methods: Analysis and Efficient Implementation in An Open Source Framework}, volume={105}, DOI={10.1007/s10915-025-03049-y}, number={130}, journal={Journal of Scientific Computing}, publisher={Springer Science and Business Media LLC}, author={Bachmann, Bernhard and Bonaventura, Luca and Casella, Francesco and Fernández-García, Soledad and Gómez-Mármol, Macarena and Hannebohm, Philip}, year={2025} }
Bachmann, Bernhard, Luca Bonaventura, Francesco Casella, Soledad Fernández-García, Macarena Gómez-Mármol, and Philip Hannebohm. “Self-Adjusting Multi-Rate Runge-Kutta Methods: Analysis and Efficient Implementation in An Open Source Framework.” Journal of Scientific Computing 105, no. 1 (2025). https://doi.org/10.1007/s10915-025-03049-y.
B. Bachmann, L. Bonaventura, F. Casella, S. Fernández-García, M. Gómez-Mármol, and P. Hannebohm, “Self-Adjusting Multi-Rate Runge-Kutta Methods: Analysis and Efficient Implementation in An Open Source Framework,” Journal of Scientific Computing, vol. 105, no. 1, 2025.
Bachmann, Bernhard, et al. “Self-Adjusting Multi-Rate Runge-Kutta Methods: Analysis and Efficient Implementation in An Open Source Framework.” Journal of Scientific Computing, vol. 105, no. 1, 30, Springer Science and Business Media LLC, 2025, doi:10.1007/s10915-025-03049-y.
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