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Ranocha_Ketcheson__2020__RRK_methods_for_Hamiltonian_problems__arXiv.pdf
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ArticleAuthors
Ranocha, Hendrik
Ketcheson, David I.

KAUST Department
Applied Mathematics and Computational Science ProgramComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Numerical Mathematics Group
Date
2020-07-09Preprint Posting Date
2020-01-14Online Publication Date
2020-07-09Print Publication Date
2020-07Embargo End Date
2021-07-09Submitted Date
2020-01-18Permanent link to this record
http://hdl.handle.net/10754/661682
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The recently-introduced relaxation approach for Runge–Kutta methods can be used to enforce conservation of energy in the integration of Hamiltonian systems. We study the behavior of implicit and explicit relaxation Runge–Kutta methods in this context. We find that, in addition to their useful conservation property, the relaxation methods yield other improvements. Experiments show that their solutions bear stronger qualitative similarity to the true solution and that the error grows more slowly in time. We also prove that these methods are superconvergent for a certain class of Hamiltonian systems.Citation
Ranocha, H., & Ketcheson, D. I. (2020). Relaxation Runge–Kutta Methods for Hamiltonian Problems. Journal of Scientific Computing, 84(1). doi:10.1007/s10915-020-01277-ySponsors
Research reported in this publication was supported by the King Abdullah University of Science and Technology (KAUST). The authours would like to thank Ernst Hairer for a discussion of symplecticity and the preservation of phase space volume.Publisher
Springer NatureJournal
Journal of Scientific ComputingarXiv
2001.04826Additional Links
http://link.springer.com/10.1007/s10915-020-01277-yae974a485f413a2113503eed53cd6c53
10.1007/s10915-020-01277-y