Relaxation Runge–Kutta Methods for Hamiltonian Problems

Hendrik Ranocha, David I. Ketcheson

Research output: Contribution to journalArticlepeer-review

18 Scopus citations


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.
Original languageEnglish (US)
JournalJournal of Scientific Computing
Issue number1
StatePublished - Jul 9 2020

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: 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.


Dive into the research topics of 'Relaxation Runge–Kutta Methods for Hamiltonian Problems'. Together they form a unique fingerprint.

Cite this