Fourth-order paired-explicit Runge-Kutta methods

In this paper, we extend the Paired-Explicit Runge-Kutta (P-ERK) schemes by Vermeire et al. (J Comput Phys 393:465–483, 2019) and Nasab and Vermeire (J Comput Phys 468:111470, 2022) to fourth-order of consistency. Based on the order conditions for partitioned Runge-Kutta methods we motivate a specific form of the Butcher arrays which leads to a family of fourth-order accurate methods. The employed form of the Butcher arrays results in a special structure of the stability polynomials, which needs to be adhered to for an efficient optimization of the domain of absolute stability. We demonstrate that the constructed fourth-order P-ERK methods satisfy linear stability, internal consistency, designed order of convergence, and conservation of linear invariants. At the same time, these schemes are seamlessly coupled for codes employing a method-of-lines approach, in particular without any modifications of the spatial discretization. We demonstrate speedup for single-threaded program executions, shared-memory parallelism, i.e., multi-threaded executions and distributed-memory parallelism with MPI. We apply the multirate P-ERK schemes to inviscid and viscous problems with locally varying wave speeds, which may be induced by non-uniform grids or multiscale properties of the governing partial differential equation. Compared to state-of-the-art optimized standalone methods, the multirate P-ERK schemes allow significant reductions in right-hand-side evaluations and wall-clock time, ranging from $$66\%$$ up to factors greater than four. A reproducibility repository is provided which enables the reader to examine all results presented in this work.

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Publication Details

Journal
Computational Science and Engineering
Published
2025-10-13
DOI
https://doi.org/10.1007/s44207-025-00005-4
Primary Topic
Numerical methods for differential equations
Type
article
Field-Weighted Citation Impact
0.00

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article

Fourth-order paired-explicit Runge-Kutta methods

Gregor J. Gassner, Manuel Torrilhon, Michael Schlottke‐Lakemper, Daniel Doehring et al.
Computational Science and Engineering
Numerical methods for differential equations
article

Fourth-order paired-explicit Runge-Kutta methods

Gregor J. Gassner, Manuel Torrilhon, Michael Schlottke‐Lakemper, Daniel Doehring, Lars Christmann
article en

Abstract

In this paper, we extend the Paired-Explicit Runge-Kutta (P-ERK) schemes by Vermeire et al. (J Comput Phys 393:465–483, 2019) and Nasab and Vermeire (J Comput Phys 468:111470, 2022) to fourth-order of consistency. Based on the order conditions for partitioned Runge-Kutta methods we motivate a specific form of the Butcher arrays which leads to a family of fourth-order accurate methods. The employed form of the Butcher arrays results in a special structure of the stability polynomials, which needs to be adhered to for an efficient optimization of the domain of absolute stability. We demonstrate that the constructed fourth-order P-ERK methods satisfy linear stability, internal consistency, designed order of convergence, and conservation of linear invariants. At the same time, these schemes are seamlessly coupled for codes employing a method-of-lines approach, in particular without any modifications of the spatial discretization. We demonstrate speedup for single-threaded program executions, shared-memory parallelism, i.e., multi-threaded executions and distributed-memory parallelism with MPI. We apply the multirate P-ERK schemes to inviscid and viscous problems with locally varying wave speeds, which may be induced by non-uniform grids or multiscale properties of the governing partial differential equation. Compared to state-of-the-art optimized standalone methods, the multirate P-ERK schemes allow significant reductions in right-hand-side evaluations and wall-clock time, ranging from $$66\%$$ up to factors greater than four. A reproducibility repository is provided which enables the reader to examine all results presented in this work.

Computational Science and EngineeringVol. 2(1)
University of Stuttgart (DE), University of Augsburg (DE), University of Cologne (DE), RWTH Aachen University (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 58%
Numerical methods for differential equations
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