[{"language":[{"iso":"eng"}],"_id":"6445","year":"2025","article_number":"30","status":"public","author":[{"last_name":"Bachmann","orcid":"0000-0002-4339-0438","full_name":"Bachmann, Bernhard","first_name":"Bernhard","id":"33931","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0002-4339-0438/work/202504183"},{"full_name":"Bonaventura, Luca","last_name":"Bonaventura","first_name":"Luca"},{"first_name":"Francesco","last_name":"Casella","full_name":"Casella, Francesco"},{"first_name":"Soledad","last_name":"Fernández-García","full_name":"Fernández-García, Soledad"},{"first_name":"Macarena","full_name":"Gómez-Mármol, Macarena","last_name":"Gómez-Mármol"},{"last_name":"Hannebohm","orcid":"0009-0003-8902-9079","full_name":"Hannebohm, Philip","first_name":"Philip","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0003-8902-9079/work/202504184","id":"221456"}],"citation":{"ieee":"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,” <i>Journal of Scientific Computing</i>, vol. 105, no. 1, 2025.","apa":"Bachmann, B., Bonaventura, L., Casella, F., Fernández-García, S., Gómez-Mármol, M., &#38; Hannebohm, P. (2025). Self-Adjusting Multi-Rate Runge-Kutta Methods: Analysis and Efficient Implementation in An Open Source Framework. <i>Journal of Scientific Computing</i>, <i>105</i>(1). <a href=\"https://doi.org/10.1007/s10915-025-03049-y\">https://doi.org/10.1007/s10915-025-03049-y</a>","bibtex":"@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={<a href=\"https://doi.org/10.1007/s10915-025-03049-y\">10.1007/s10915-025-03049-y</a>}, 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} }","alphadin":"<span style=\"font-variant:small-caps;\">Bachmann, Bernhard</span> ; <span style=\"font-variant:small-caps;\">Bonaventura, Luca</span> ; <span style=\"font-variant:small-caps;\">Casella, Francesco</span> ; <span style=\"font-variant:small-caps;\">Fernández-García, Soledad</span> ; <span style=\"font-variant:small-caps;\">Gómez-Mármol, Macarena</span> ; <span style=\"font-variant:small-caps;\">Hannebohm, Philip</span>: Self-Adjusting Multi-Rate Runge-Kutta Methods: Analysis and Efficient Implementation in An Open Source Framework. In: <i>Journal of Scientific Computing</i> Bd. 105, Springer Science and Business Media LLC (2025), Nr. 1","short":"B. Bachmann, L. Bonaventura, F. Casella, S. Fernández-García, M. Gómez-Mármol, P. Hannebohm, Journal of Scientific Computing 105 (2025).","chicago":"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.” <i>Journal of Scientific Computing</i> 105, no. 1 (2025). <a href=\"https://doi.org/10.1007/s10915-025-03049-y\">https://doi.org/10.1007/s10915-025-03049-y</a>.","ama":"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. <i>Journal of Scientific Computing</i>. 2025;105(1). doi:<a href=\"https://doi.org/10.1007/s10915-025-03049-y\">10.1007/s10915-025-03049-y</a>","mla":"Bachmann, Bernhard, et al. “Self-Adjusting Multi-Rate Runge-Kutta Methods: Analysis and Efficient Implementation in An Open Source Framework.” <i>Journal of Scientific Computing</i>, vol. 105, no. 1, 30, Springer Science and Business Media LLC, 2025, doi:<a href=\"https://doi.org/10.1007/s10915-025-03049-y\">10.1007/s10915-025-03049-y</a>."},"date_updated":"2026-03-17T15:29:30Z","publisher":"Springer Science and Business Media LLC","doi":"10.1007/s10915-025-03049-y","intvolume":"       105","main_file_link":[{"open_access":"1"}],"user_id":"263827","oa":"1","tmp":{"short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png"},"type":"journal_article","publication_identifier":{"issn":["0885-7474"],"eissn":["1573-7691"]},"publication_status":"published","publication":"Journal of Scientific Computing","issue":"1","volume":105,"date_created":"2026-01-14T16:03:23Z","article_type":"original","title":"Self-Adjusting Multi-Rate Runge-Kutta Methods: Analysis and Efficient Implementation in An Open Source Framework"}]