Flexible rational approximation and its application for matrix functions

Fuente: arXiv
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Main Authors: Sharon, Nir, Peiris, Vinesha, Sukhorukova, Nadia, Ugon, Julien
Format: Preprint
Published: 2021
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author Sharon, Nir
Peiris, Vinesha
Sukhorukova, Nadia
Ugon, Julien
author_facet Sharon, Nir
Peiris, Vinesha
Sukhorukova, Nadia
Ugon, Julien
contents This paper proposes a unique optimization approach for estimating the minimax rational approximation and its application for evaluating matrix functions. Our method enables the extension to generalized rational approximations and has the flexibility of adding constraints. In particular, the latter allows us to control specific properties preferred in matrix function evaluation. For example, in the case of a normal matrix, we can guarantee a bound over the condition number of the matrix, which one needs to invert for evaluating the rational matrix function. We demonstrate the efficiency of our approach for several applications of matrix functions based on direct spectrum filtering.
format Preprint
id arxiv_https___arxiv_org_abs_2108_09357
institution arXiv
publishDate 2021
record_format arxiv
spellingShingle Flexible rational approximation and its application for matrix functions
Sharon, Nir
Peiris, Vinesha
Sukhorukova, Nadia
Ugon, Julien
Numerical Analysis
This paper proposes a unique optimization approach for estimating the minimax rational approximation and its application for evaluating matrix functions. Our method enables the extension to generalized rational approximations and has the flexibility of adding constraints. In particular, the latter allows us to control specific properties preferred in matrix function evaluation. For example, in the case of a normal matrix, we can guarantee a bound over the condition number of the matrix, which one needs to invert for evaluating the rational matrix function. We demonstrate the efficiency of our approach for several applications of matrix functions based on direct spectrum filtering.
title Flexible rational approximation and its application for matrix functions
topic Numerical Analysis
url https://arxiv.org/abs/2108.09357