Energy-Preserving Parareal-RKN Algorithms for Hamiltonian Systems

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Abstract

In this paper, we formulate and analyse a kind of parareal-RKN algorithms with energy conservation for Hamiltonian systems. The proposed algorithms are constructed by using the ideas of parareal methods, Runge-Kutta-Nyström (RKN) methods and projection methods. It is shown that the algorithms can exactly preserve the energy of Hamiltonian systems. Moreover, the convergence of the integrators is rigorously analysed. Three numerical experiments are carried out to support the theoretical results presented in this paper and show the numerical behaviour of the derived algorithms.

Original languageEnglish
Pages (from-to)121-144
Number of pages24
JournalNumerical Mathematics
Volume17
Issue number1
DOIs
StatePublished - Feb 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Hamiltonian systems
  • Parareal methods
  • Runge-Kutta-Nyström methods
  • energy conservation

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