A stable, polynomial-time algorithm for the eigenpair problem

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Author(s)

  • Diego Armentano
  • Carlos Beltrán
  • Peter Bürgisser
  • Felipe Cucker
  • Michael Shub

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)1375-1437
Journal / PublicationJournal of the European Mathematical Society
Volume20
Issue number6
Online published17 Apr 2018
Publication statusPublished - 2018

Abstract

We describe algorithms for computing eigenpairs (eigenvalue-eigenvector pairs) of a complex n × n matrix A. These algorithms are numerically stable, strongly accurate, and theoretically efficient (i.e., polynomial-time). We do not believe they outperform in practice the algorithms currently used for this computational problem. The merit of our paper is to give a positive answer to a long-standing open problem in numerical linear algebra.

Research Area(s)

  • Eigenvalue computations, Homotopy methods

Bibliographic Note

Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).

Citation Format(s)

A stable, polynomial-time algorithm for the eigenpair problem. / Armentano, Diego; Beltrán, Carlos; Bürgisser, Peter et al.

In: Journal of the European Mathematical Society, Vol. 20, No. 6, 2018, p. 1375-1437.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review