A Journey through the History of Numerical Linear Algebra: Back Matter Page 1 Bibliography
[1] A. Abdelfattah, H. Anzt, A. Bouteiller, A. Danalis, JJ Dongarra, M. Gates, A. Haidar, J. Kurzak …

We investigate the eigenvalue curves of 1-parameter Hermitian and general complex or real
matrix flows A(t) in light of their geometry and the uniform decomposability of A(t) for all …

This paper adapts look-ahead and backward finite difference formulas to compute future
eigenvectors and eigenvalues of piecewise smooth time-varying symmetric or hermitean …

This paper wants to increase our understanding and computational know-how for time-
varying matrix problems and Zhang Neural Networks. These neural networks were invented …

In this paper, a new and different neural network, called Zhang Neural Network (ZNN) is
appropriated from discrete time-varying matrix problems and applied to the angle parameter …

For general complex or real 1-parameter matrix flows A (t) n, n and for static matrices A∈ ℂ
n, n alike, this paper considers ways to decompose matrix flows and single matrices globally …

A novel algorithm for the computation of the quadratic numerical range is presented and
exemplified yielding much better results in less time compared to the random vector …

A better understanding of the mechanisms leading a fluid system to exhibit turbulent
behavior is one of the grand challenges of the physical and mathematical sciences. Over the …

This paper describes and develops a fast and accurate path following algorithm that
computes the field of values boundary curve∂ F (A) ∂ F (A) for every conceivable complex …

For general complex or real 1-parameter matrix flows $ A (t) _ {n, n} $ and for time-invariant
static matrices $ A\in\CC_ {n, n} $ alike, this paper considers ways to decompose matrix …