AI & ML
Preconditioning for the time-dependent Stokes equations: stage-weighted Radau IIA and weighted discontinuous Galerkin time-stepping
arXiv cs.NA0 views
arXiv:2611.08429v1 Announce Type: new Abstract: We determine field-of-values equivalent preconditioners for the time-dependent Stokes equations discretized in time by stage-weighted Radau IIA Runge--Kutta time-stepping and discontinuous Galerkin time-stepping methods. By weighing each stage of the Radau IIA Runge--Kutta method differently we obtain preconditioners that are field-of-values equivalent, with constants independent of viscosity, timestep, and mesh size, to the system matrix. Similarly, by using weighted inner products in time to define the discontinuous Galerkin time-stepping method, we again obtain field-of-values equivalent preconditioners for the resulting system matrix. Numerical experiments are performed in two and three-dimensions which demonstrate robustness of the proposed preconditioners.
Source:https://arxiv.org/abs/2611.08429PreviousVariably saturated flow on polygonal and cut meshes using a mass-conservative hybrid virtual elementNextSupport in the domain of numerical algorithms in the education of future secondary school mathematics teachers
Related posts

Anthropic engineer warns against 'cognitive surrender' from too much AI
0TechRadar

Garmin is embracing AI with ‘a keen sense of authenticity’ according to its COO
0TechRadar

I’m sick of Google running my life, but the /e/OS Fairphone wasn't the de-Googled solution I needed
0TechRadar

The US let Nvidia sell chips to an empty office in China
0The Verge

NYT Cooking’s AI assistant saved my weeknight chicken, but almost ruined my cake
0The Verge

Costco members can get $5 off the reimagined Ocarina of Time
0The Verge