@article{,
author={Kocsor, Andr{\'a}s and Dombi, J{\'o}zsef and B{\'a}lint, Imre},
title={Inequality-Based Approximation of Matrix Eigenvectors},
abstract={A novel procedure is given here for constructing non-negative functions
with zero-valued global minima coinciding with eigenvectors of a general
real matrix A. Some of these functions are distinct because all their local
minima are also global, offering a new way of determining eigenpairs by
local optimization. Apart from describing the framework of the method,
the error bounds given separately for the approximation of eigenvectors
and eigenvalues provide a deeper insight into the fundamentally different
nature of their approximations.},
journal={International Journal of Applied Mathematics and Computer Science},
volume={12},
year={2002},
pages={533-538},
number={4}
}