The numerical solution of differential equations using machine learning-...
In this paper, we develop a new reduced basis (RB) method, named as Sing...
Neural networks are universal function approximators which are known to
...
In this paper, we revisit Korn's inequality for the piecewise H^1 space
...
In this paper, we propose a new finite element approach to simulate the
...
The purpose of this paper is to construct a new class of discrete genera...
Methods for solving PDEs using neural networks have recently become a ve...
This paper provides a new abstract stability result for perturbed
saddle...
For the Hodge–Laplace equation in finite element exterior calculus, we
i...
In this paper, we propose and analyze an abstract stabilized mixed finit...
This paper presents an extended Galerkin analysis for various Galerkin
m...
In this paper we study the linear systems arising from discretized
poroe...
This work is concerned with the iterative solution of systems of quasi-s...
A general framework, known as extended Galerkin method, is presented in ...