Uniform Convergence Guarantees for the Deep Ritz Method for Nonlinear Problems

11/10/2021
by   Patrick Dondl, et al.
0

We provide convergence guarantees for the Deep Ritz Method for abstract variational energies. Our results cover non-linear variational problems such as the p-Laplace equation or the Modica-Mortola energy with essential or natural boundary conditions. Under additional assumptions, we show that the convergence is uniform across

READ FULL TEXT

page 9

page 10

research
08/08/2022

Abstract error analysis for Cahn–Hilliard type equations with dynamic boundary conditions

This work addresses the problem of solving the Cahn-Hilliard equation nu...
research
03/01/2021

Error Estimates for the Variational Training of Neural Networks with Boundary Penalty

We establish estimates on the error made by the Ritz method for quadrati...
research
09/05/2022

A variational neural network approach for glacier modelling with nonlinear rheology

In this paper, we propose a mesh-free method to solve full stokes equati...
research
05/23/2019

A Smoothness Energy without Boundary Distortion for Curved Surfaces

Current quadratic smoothness energies for curved surfaces either exhibit...
research
06/26/2020

Spiral capacitor calculation using FEniCS

The paper shows how to optimize a water level sensor consisting of a cyl...
research
08/26/2022

Non-probabilistic Supervised Learning for Non-linear Convex Variational Problems

In this article we propose, based on a non-probabilistic supervised lear...
research
11/28/2021

Convergence Analysis For Non Linear System Of Parabolic Variational Inequalities

This work aims to provide a comprehensive and unified numerical analysis...

Please sign up or login with your details

Forgot password? Click here to reset