![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Article
Gauss Newton Method for Solving Variational Problems of PDEs with Neural Network Discretizaitons
The numerical solution of differential equations using machine learning-based approaches has gained significant popularity. Neural network-based discretization has emerged as a powerful tool for solving differ...
-
Article
Robust Approximation of Generalized Biot-Brinkman Problems
The generalized Biot-Brinkman equations describe the displacement, pressures and fluxes in an elastic medium permeated by multiple viscous fluid networks and can be used to study complex poromechanical interac...
-
Article
New discontinuous Galerkin algorithms and analysis for linear elasticity with symmetric stress tensor
This paper presents a new and unified approach to the derivation and analysis of many existing, as well as new discontinuous Galerkin methods for linear elasticity problems. The analysis is based on a unified ...
-
Article
An extended Galerkin analysis for elliptic problems
A general analysis framework is presented in this paper for many different types of finite element methods (including various discontinuous Galerkin methods). For the second-order elliptic equation −div(α∇u) = f,...
-
Article
A unified study of continuous and discontinuous Galerkin methods
A unified study is presented in this paper for the design and analysis of different finite element methods (FEMs), including conforming and nonconforming FEMs, mixed FEMs, hybrid FEMs, discontinuous Galerkin (...
-
Article
A robust multigrid method for discontinuous Galerkin discretizations of Stokes and linear elasticity equations
We consider multigrid methods for discontinuous Galerkin \(H({\text {div}},\Omega )\) ...