A new reduced order model of imcompressible Stokes equations
Yangwen Zhang

TL;DR
This paper introduces a novel reduced order model for incompressible Stokes equations that achieves comparable convergence rates to standard solvers, offering improved efficiency and accuracy.
Contribution
The paper presents a new ROM for Stokes equations with proven convergence rates matching standard methods, enhancing computational efficiency.
Findings
ROM is accurate and efficient in numerical experiments.
Convergence rates are comparable to standard solvers under certain assumptions.
The model offers a promising approach for faster simulations of Stokes flows.
Abstract
In this paper we propose a new reduced order model (ROM) to the imcompressible Stokes equations. Numerical experiments show that our ROM is accurate and efficient. Under some assumptions on the problem data, we prove that the convergence rates of the new ROM is the same with standard solvers.
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
TopicsModel Reduction and Neural Networks · Fluid Dynamics and Vibration Analysis · Fluid Dynamics and Turbulent Flows
