6 citations · 8 across the 7 of their papers we have counts for
8 papers
Randomized low-rank approximations beyond Gaussian random matrices
Arvind K. Saibaba, Agnieszka Międlar
This paper expands the analysis of randomized low-rank approximation beyond the Gaussian distribution to four classes of random matrices: (1) independent sub-Gaussian entries, (2)…
A \texttt{Matlab} Toolbox for the Regularization of Descriptor Systems Arising from Generalized Realization Procedures
A. Binder, V. Mehrmann, A. Miedlar +1
In this report we introduce a \texttt{Matlab} toolbox for the regularization of descriptor systems. We apply it, in particular, for systems resulting from the generalized realizati…
Modifying the Asynchronous Jacobi Method for Data Corruption Resilience
Christopher J. Vogl, Zachary Atkins, Alyson Fox +2
Moving scientific computation from high-performance computing (HPC) and cloud computing (CC) environments to devices on the edge, i.e., physically near instruments of interest, has…
Randomized algorithms for rounding in the Tensor-Train format
Hussam Al Daas, Grey Ballard, Paul Cazeaux +5
The Tensor-Train (TT) format is a highly compact low-rank representation for high-dimensional tensors. TT is particularly useful when representing approximations to the solutions o…
Distribution System Voltage Prediction from Smart Inverters using Decentralized Regression
Zachary R. Atkins, Christopher J. Vogl, Achintya Madduri +3
As photovoltaic (PV) penetration continues to rise and smart inverter functionality continues to expand, smart inverters and other distributed energy resources (DERs) will play inc…
A rational approximation method for solving acoustic nonlinear eigenvalue problems
Mohamed El-Guide, Agnieszka Miedlar, Yousef Saad
We present two approximation methods for computing eigenfrequencies and eigenmodes of large-scale nonlinear eigenvalue problems resulting from boundary element method (BEM) solutio…
A rational approximation method for the nonlinear eigenvalue problem
Yousef Saad, Mohamed El-Guide, Agnieszka Międlar
This paper presents a method for computing eigenvalues and eigenvectors for some types of nonlinear eigenvalue problems. The main idea is to approximate the functions involved in t…
FEAST Eigensolver for Nonlinear Eigenvalue Problems
Brendan Gavin, Agnieszka Międlar, Eric Polizzi
The linear FEAST algorithm is a method for solving linear eigenvalue problems. It uses complex contour integration to calculate the eigenvectors whose eigenvalues that are located…