Schwarz iteration method for elliptic equation with rough media based on random sampling

10/04/2019
by   Ke Chen, et al.
0

We propose a computationally efficient Schwarz method for elliptic equations with rough media. A random sampling strategy is used to find low-rank approximations of all local solution maps in the offline stage; these maps are used to perform fast Schwarz iterations in the online stage. Numerical examples demonstrate accuracy and robustness of our approach.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
07/01/2019

A data-driven approach for multiscale elliptic PDEs with random coefficients based on intrinsic dimension reduction

We propose a data-driven approach to solve multiscale elliptic PDEs with...
research
11/25/2021

Low-rank approximation for multiscale PDEs

Historically, analysis for multiscale PDEs is largely unified while nume...
research
07/19/2020

An Efficient Online-Offline Method for Elliptic Homogenization Problems

We present a new numerical method for solving the elliptic homogenizatio...
research
05/27/2021

Tensor numerical method for optimal control problems constrained by an elliptic operator with general rank-structured coefficients

We introduce tensor numerical techniques for solving optimal control pro...
research
03/29/2023

A data-assisted two-stage method for the inverse random source problem

We propose a data-assisted two-stage method for solving an inverse rando...
research
08/14/2020

Recursive linearization method for inverse medium scattering problems with complex mixture Gaussian error learning

This paper is concerned with the numerical errors that have appeared in ...
research
04/10/2019

Efficient Retrieval of Logos Using Rough Set Reducts

Searching for similar logos in the registered logo database is a very im...

Please sign up or login with your details

Forgot password? Click here to reset