Space-time waveform relaxation multigrid for Navier-Stokes
James Jackaman, Scott MacLachlan

TL;DR
This paper develops a space-time waveform relaxation multigrid method for efficiently solving the Navier-Stokes equations all-at-once, demonstrating scalability and effectiveness through numerical experiments.
Contribution
It extends spatial multigrid relaxation techniques to a waveform relaxation framework for Navier-Stokes, creating a scalable monolithic solver.
Findings
The solver is scalable with respect to discretization order.
Numerical results confirm the efficiency of the method.
The approach effectively handles varying physical parameters.
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 [37] to a waveform relaxation method, and demonstrate the efficiency of the resulting monolithic Newton-Krylov-multigrid solver. Numerical results demonstrate the scalability of the solver for varying discretization order and physical parameters.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSeismic Imaging and Inversion Techniques · Image and Signal Denoising Methods · Meteorological Phenomena and Simulations
