Paper ID sheet
- TITLE: Adaptive model trust region methods for generalized
- AUTHORS: P.-A. Absil, C. G. Baker, K. A. Gallivan, A. Sameh
Computing a few eigenpairs of large-scale matrices is a significant
problem in science and engineering applications and a very active
area of research. In this paper, two methods that compute extreme
eigenpairs of positive-definite matrix pencils are combined into a
hybrid scheme that inherits the advantages of both constituents. The
hybrid algorithm is developed and analyzed in the framework of
model-based methods for trace minimization.
- STATUS: published in Lecture Notes in Computer Science, Volume
3514 / 2005. Computational Science - ICCS 2005: 5th
International Conference, Atlanta, GA, USA, May 22-25, 2005,
Proceedings, Part I.
Editors: Vaidy S. Sunderam, Geert Dick van Albada, Peter M. A. Sloot, et al.
- DATE OF ENTRY: December 2004.
author = "Absil, P.-A. and Baker, C. G. and Gallivan, K. A. and Sameh, A.",
title = "Adaptive model trust region methods for generalized eigenvalue problems",
editor = "Vaidy S. Sunderam and Geert Dick van Albada and Peter M. A. Sloot, et al.",
series = "Lecture Notes in Computer Science",
year = "2005",
volume = "3514",
pages = "33--41",
booktitle = "International Conference on Computational Science",
publisher = "Springer-Verlag",
ftitle = "Computational Science - ICCS 2005, International Conference, Atlanta, GA, USA, May 22-25, 2005. Proceedings, Part I",