LU factorization with errors *
Symbolic Computation
2019-01-31 v1 Information Theory
math.IT
Abstract
We present new algorithms to detect and correct errors in the lower-upper factorization of a matrix, or the triangular linear system solution, over an arbitrary field. Our main algorithms do not require any additional information or encoding other than the original inputs and the erroneous output. Their running time is softly linear in the dimension times the number of errors when there are few errors, smoothly growing to the cost of fast matrix multiplication as the number of errors increases. We also present applications to general linear system solving.
Cite
@article{arxiv.1901.10730,
title = {LU factorization with errors *},
author = {Jean-Guillaume Dumas and Joris Van Der Hoeven and Clément Pernet and Daniel Roche},
journal= {arXiv preprint arXiv:1901.10730},
year = {2019}
}