{"title":"通过松弛保留非线性函数的多因次时间积分法","authors":"Hendrik Ranocha, Jochen Schütz","doi":"10.2140/camcos.2024.19.27","DOIUrl":null,"url":null,"abstract":"<p>We combine the recent relaxation approach with multiderivative Runge–Kutta methods to preserve conservation or dissipation of entropy functionals for ordinary and partial differential equations. Relaxation methods are minor modifications of explicit and implicit schemes, requiring only the solution of a single scalar equation per time step in addition to the baseline scheme. We demonstrate the robustness of the resulting methods for a range of test problems including the 3D compressible Euler equations. In particular, we point out improved error growth rates for certain entropy-conservative problems including nonlinear dispersive wave equations. </p>","PeriodicalId":49265,"journal":{"name":"Communications in Applied Mathematics and Computational Science","volume":"27 1","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multiderivative time integration methods preserving nonlinear functionals via relaxation\",\"authors\":\"Hendrik Ranocha, Jochen Schütz\",\"doi\":\"10.2140/camcos.2024.19.27\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>We combine the recent relaxation approach with multiderivative Runge–Kutta methods to preserve conservation or dissipation of entropy functionals for ordinary and partial differential equations. Relaxation methods are minor modifications of explicit and implicit schemes, requiring only the solution of a single scalar equation per time step in addition to the baseline scheme. We demonstrate the robustness of the resulting methods for a range of test problems including the 3D compressible Euler equations. In particular, we point out improved error growth rates for certain entropy-conservative problems including nonlinear dispersive wave equations. </p>\",\"PeriodicalId\":49265,\"journal\":{\"name\":\"Communications in Applied Mathematics and Computational Science\",\"volume\":\"27 1\",\"pages\":\"\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2024-06-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Communications in Applied Mathematics and Computational Science\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.2140/camcos.2024.19.27\",\"RegionNum\":3,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Applied Mathematics and Computational Science","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.2140/camcos.2024.19.27","RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
Multiderivative time integration methods preserving nonlinear functionals via relaxation
We combine the recent relaxation approach with multiderivative Runge–Kutta methods to preserve conservation or dissipation of entropy functionals for ordinary and partial differential equations. Relaxation methods are minor modifications of explicit and implicit schemes, requiring only the solution of a single scalar equation per time step in addition to the baseline scheme. We demonstrate the robustness of the resulting methods for a range of test problems including the 3D compressible Euler equations. In particular, we point out improved error growth rates for certain entropy-conservative problems including nonlinear dispersive wave equations.
期刊介绍:
CAMCoS accepts innovative papers in all areas where mathematics and applications interact. In particular, the journal welcomes papers where an idea is followed from beginning to end — from an abstract beginning to a piece of software, or from a computational observation to a mathematical theory.