We develop multilevel methods for interface-driven multiphysics problems...
It is well known that via the augmented Lagrangian method, one can solve...
We introduce the software toolbox HAZniCS for solving interface-coupled
...
Fractional vector calculus is the building block of the fractional parti...
We consider a class of mathematical models describing multiphysics pheno...
In this paper, we present a pressure-robust enriched Galerkin (EG) schem...
Convection-diffusion equations arise in a variety of applications such a...
In this paper, a meshfree method using the deep neural network (DNN) app...
We consider effective preconditioners for solving Laplacians of general
...
Discretization of flow in fractured porous media commonly lead to large
...
We present a monolithic geometric multigrid preconditioner for solving
f...
We present a new enriched Galerkin (EG) scheme for the Stokes equations ...
In this paper, we present an interior penalty discontinuous Galerkin fin...
Advanced finite-element discretizations and preconditioners for models o...
Polynomial functions have plenty of useful analytical properties, but th...
As traditional machine learning tools are increasingly applied to scienc...
Maxwell's equations are a system of partial differential equations that
...
In this paper, we study a posteriori error estimators which aid multilev...
In this paper, we propose two momentum accelerated MG cycles. The main i...
In this work, we illustrate the underlying mathematical structure of
mix...
Randomized Fast Subspace Descent (RFASD) Methods are developed and analy...
In this paper, we propose a novel mesh-free numerical method for solving...
Data-dependent metrics are powerful tools for learning the underlying
st...
This work introduces nodal auxiliary space preconditioners for
discretiz...
Algebraic multigrid (AMG) coarse spaces are commonly constructed so that...
Real-world data sets often provide multiple types of information about t...