DeepAI
Log In Sign Up

Electric Field Propagation Through Singular Value Decomposition

01/24/2020
by   David Yevick, et al.
0

We demonstrate that the singular value decomposition algorithm in conjunction with the fast Fourier transform or finite difference procedures provides a straightforward and accurate method for rapidly propagating electric fields in the one-way Helmholtz formalism.

READ FULL TEXT
02/25/2019

On the Distribution of GSVD

In this paper, some new results on the distribution of the generalized s...
06/11/2018

ATOMO: Communication-efficient Learning via Atomic Sparsification

Distributed model training suffers from communication overheads due to f...
07/04/2017

The Normalized Singular Value Decomposition of Non-Symmetric Matrices Using Givens fast Rotations

In this paper we introduce the algorithm and the fixed point hardware to...
11/03/2017

A generalized MBO diffusion generated motion for orthogonal matrix-valued fields

We consider the problem of finding stationary points of the Dirichlet en...
08/19/2021

PyParSVD: A streaming, distributed and randomized singular-value-decomposition library

We introduce PyParSVD[https://github.com/Romit-Maulik/PyParSVD], a Pytho...
11/29/2019

High Order Singular Value Decomposition for Plant Biodiversity Estimation

We propose a new method to estimate plant biodiversity with Rényi and Ra...