Computation of generalized matrix functions
Numerical Analysis
2015-12-10 v2
Abstract
We develop numerical algorithms for the efficient evaluation of quantities associated with generalized matrix functions [J. B. Hawkins and A. Ben-Israel, Linear and Multilinear Algebra 1(2), 1973, pp. 163-171]. Our algorithms are based on Gaussian quadrature and Golub--Kahan bidiagonalization. Block variants are also investigated. Numerical experiments are performed to illustrate the effectiveness and efficiency of our techniques in computing generalized matrix functions arising in the analysis of networks.
Cite
@article{arxiv.1512.01446,
title = {Computation of generalized matrix functions},
author = {Francesca Arrigo and Michele Benzi and Caterina Fenu},
journal= {arXiv preprint arXiv:1512.01446},
year = {2015}
}
Comments
25 paged, 2 figures