A simple iterative algorithm for generating selected eigenspaces of large matrices
General Physics
2009-11-07 v3 Computational Physics
Abstract
We propose a new iterative algorithm for generating a subset of eigenvalues and eigenvectors of large matrices which generalizes the method of optimal relaxations. We also give convergence criteria for the iterative process, investigate its efficiency by evaluating computer storage and time requirements and by a few numerical tests.
Cite
@article{arxiv.physics/0102066,
title = {A simple iterative algorithm for generating selected eigenspaces of large matrices},
author = {F. Andreozzi and A. Porrino and N. Lo Iudice},
journal= {arXiv preprint arXiv:physics/0102066},
year = {2009}
}
Comments
7 pages, 1 figure