An implicit Riemannian Trust-Region method for the symmetric generalized eigenproblem

12Citations
Citations of this article
9Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

The recently proposed Riemannian Trust-Region method can be applied to the problem of computing extreme eigenpairs of a matrix pencil, with strong global convergence and local convergence properties. This paper addresses inherent inefficiencies of an explicit trustregion mechanism. We propose a new algorithm, the Implicit Riemannian Trust-Region method for extreme eigenpair computation, which seeks to overcome these inefficiencies while still retaining the favorable convergence properties. © Springer-Verlag Berlin Heidelberg 2006.

References Powered by Scopus

2090Citations
763Readers
Get full text
628Citations
31Readers
Get full text
Get full text

Cited by Powered by Scopus

Get full text
22Citations
4Readers
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Baker, C. G., Absil, P. A., & Gallivan, K. A. (2006). An implicit Riemannian Trust-Region method for the symmetric generalized eigenproblem. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3991 LNCS-I, pp. 210–217). Springer Verlag. https://doi.org/10.1007/11758501_32

Readers over time

‘12‘14‘15‘16‘21‘2401234

Readers' Seniority

Tooltip

Professor / Associate Prof. 3

38%

PhD / Post grad / Masters / Doc 3

38%

Researcher 2

25%

Readers' Discipline

Tooltip

Mathematics 3

50%

Energy 1

17%

Engineering 1

17%

Agricultural and Biological Sciences 1

17%

Save time finding and organizing research with Mendeley

Sign up for free
0