Global Error Control in the Runge-Kutta Solution of a Hamiltonian System using the RKQ Algorithm
J. S. C. Prentice

TL;DR
This paper demonstrates the effectiveness of the RKQ algorithm in controlling global error during the numerical solution of Hamiltonian systems, highlighting its advantages even with explicit Runge-Kutta methods.
Contribution
The study applies the RKQ algorithm to Hamiltonian systems, showing its capability to control both local and global errors stepwise, regardless of using explicit methods.
Findings
RKQ effectively controls global error in Hamiltonian systems
Explicit Runge-Kutta methods can be used successfully with RKQ
Good error control results demonstrated on test problems
Abstract
We study the effect of global error control in the numerical solution of Hamiltonian systems. In particular, we apply the RKQ algorithm in the numerical solution of a Hamiltonian system. This algorithm is designed to provide stepwise control of both local and global error. A test problem demonstrates the error control features of RKQ. Good results are obtained, despite the fact that explicit Runge-Kutta methods have been used in RKQ, rather than symplectic Runge-Kutta methods. This simply emphasizes the value of stepwise global error control, as per the RKQ algorithm.
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Taxonomy
TopicsNumerical methods for differential equations · Matrix Theory and Algorithms · Model Reduction and Neural Networks
