In this paper, we investigate a novel monolithic algebraic multigrid sol...
While constraints arise naturally in many physical models, their treatme...
Clustering is a commonplace problem in many areas of data science, with
...
Domain decomposition methods (DDMs) are popular solvers for discretized
...
Algebraic Multigrid (AMG) methods are often robust and effective solvers...
Sparse matrix representations are ubiquitous in computational science an...
A key consideration in the development of numerical schemes for
time-dep...
Domain decomposition methods are widely used and effective in the
approx...
Most research on preconditioners for time-dependent PDEs has focused on
...
Local Fourier analysis is a commonly used tool for the analysis of multi...
Advanced finite-element discretizations and preconditioners for models o...
Numerical models of weather and climate critically depend on long-term
s...
Large sparse linear systems of equations are ubiquitous in science and
e...
Time-parallel algorithms seek greater concurrency by decomposing the tem...
Low-order finite-element discretizations are well-known to provide effec...
Local Fourier analysis is a useful tool for predicting and analyzing the...
We propose a new first-order-system least squares (FOSLS) finite-element...