In this paper we present a novel matrix method for polynomial rootfinding. By exploiting the properties of the QR eigenvalue algorithm applied to a suitable CMV-like form of a companion matrix we design a fast and computationally simple structured QR iteration.

A CMV-based eigensolver for companion matrices

BEVILACQUA, ROBERTO;GEMIGNANI, LUCA
2014-01-01

Abstract

In this paper we present a novel matrix method for polynomial rootfinding. By exploiting the properties of the QR eigenvalue algorithm applied to a suitable CMV-like form of a companion matrix we design a fast and computationally simple structured QR iteration.
2014
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/810756
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