Title
Reducing and monitoring round-off error propagation for symplectic implicit Runge-Kutta schemes.
Abstract
We propose an implementation of symplectic implicit Runge-Kutta schemes for highly accurate numerical integration of non-stiff Hamiltonian systems based on fixed point iteration. Provided that the computations are done in a given floating point arithmetic, the precision of the results is limited by round-off error propagation. We claim that our implementation with fixed point iteration is near-optimal with respect to round-off error propagation under the assumption that the function that evaluates the right-hand side of the differential equations is implemented with machine numbers (of the prescribed floating point arithmetic) as input and output. In addition, we present a simple procedure to estimate the round-off error propagation by means of a slightly less precise second numerical integration. Some numerical experiments are reported to illustrate the round-off error propagation properties of the proposed implementation.
Year
DOI
Venue
2017
https://doi.org/10.1007/s11075-017-0287-z
Numerical Algorithms
Keywords
Field
DocType
Symplectic implicit Runge-Kutta methods,Fixed-point iteration,Stopping criterion,Round-off errors
Runge–Kutta methods,Differential equation,Mathematical optimization,Propagation of uncertainty,Floating point,Mathematical analysis,Round-off error,Fixed-point iteration,Numerical integration,Symplectic geometry,Algorithm,Mathematics
Journal
Volume
Issue
ISSN
76
4
1017-1398
Citations 
PageRank 
References 
4
0.63
0
Authors
3
Name
Order
Citations
PageRank
Mikel Antoñana150.99
J. Makazaga2112.53
A. Murua311025.21