Space-Time Waveform Relaxation Multigrid for Navier–Stokes

Abstract. Space-time finite-element discretizations are well-developed in many areas of science and engineering, but much work remains within the development of specialized solvers for the resulting linear and nonlinear systems. In this work, we consider the all-at-once solution of the discretized Navier–Stokes equations over a space-time domain using waveform relaxation multigrid methods. In particular, we show how to extend the efficient spatial multigrid relaxation methods from Rafiei and MacLachlan [preprint, arXiv:2502.01130] to a waveform relaxation method, and provide a proof-of-concept of the algorithmic efficiency of the resulting monolithic Newton–Krylov-multigrid solver. Numerical results demonstrate the scalability of the solver for varying discretization order and physical parameters. Reproducibility of computational results. This paper has been awarded the “SIAM Reproducibility Badge: Code and data available” as a recognition that the authors have followed reproducibility principles valued by SISC and the scientific computing community. Code and data that allow readers to reproduce the results in this paper are available at https://github.com/JamesJackaman/RelaxNavierStokes/tree/main and in the supplementary materials ( RelaxNavierStokes-main.zip [37.1KB]). [Formula: see text]

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Publication Details

Journal
SIAM Journal on Scientific Computing
Published
2026-09-30
DOI
https://doi.org/10.1137/24m167754x
Primary Topic
Seismic Imaging and Inversion Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Space-Time Waveform Relaxation Multigrid for Navier–Stokes

Scott MacLachlan, James Jackaman
SIAM Journal on Scientific Computing
Seismic Imaging and Inversion Techniques
article

Space-Time Waveform Relaxation Multigrid for Navier–Stokes

Scott MacLachlan, James Jackaman
article en

Abstract

Abstract. Space-time finite-element discretizations are well-developed in many areas of science and engineering, but much work remains within the development of specialized solvers for the resulting linear and nonlinear systems. In this work, we consider the all-at-once solution of the discretized Navier–Stokes equations over a space-time domain using waveform relaxation multigrid methods. In particular, we show how to extend the efficient spatial multigrid relaxation methods from Rafiei and MacLachlan [preprint, arXiv:2502.01130] to a waveform relaxation method, and provide a proof-of-concept of the algorithmic efficiency of the resulting monolithic Newton–Krylov-multigrid solver. Numerical results demonstrate the scalability of the solver for varying discretization order and physical parameters. Reproducibility of computational results. This paper has been awarded the “SIAM Reproducibility Badge: Code and data available” as a recognition that the authors have followed reproducibility principles valued by SISC and the scientific computing community. Code and data that allow readers to reproduce the results in this paper are available at https://github.com/JamesJackaman/RelaxNavierStokes/tree/main and in the supplementary materials ( RelaxNavierStokes-main.zip [37.1KB]). [Formula: see text]

SIAM Journal on Scientific Computing
Memorial University of Newfoundland (CA), Norwegian University of Science and Technology (NO)
European Commission, Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 100%
Seismic Imaging and Inversion Techniques
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