We consider the problem of attaining either the maximal increase or redu...
When training neural networks with low-precision computation, rounding e...
Linear systems with a tensor product structure arise naturally when
cons...
This work is concerned with linear matrix equations that arise from the
...
The employment of stochastic rounding schemes helps prevent stagnation o...
This work is concerned with approximating matrix functions for banded
ma...
A novel compressed matrix format is proposed that combines an adaptive
h...
Various numerical linear algebra problems can be formulated as evaluatin...
Finding the r× r submatrix of maximum volume of a matrix A∈ℝ^n× n is an ...
Block Krylov subspace methods (KSMs) comprise building blocks in many
st...
Many techniques for data science and uncertainty quantification demand
e...
The treatment of two-dimensional random walks in the quarter plane leads...
Matrices with hierarchical low-rank structure, including HODLR and HSS
m...
Evaluating the action of a matrix function on a vector, that is x=f(
M)v...
In this work, we consider two types of large-scale quadratic matrix
equa...
The problem of finding a k × k submatrix of maximum volume of a matrix
A...