Santa Clara University

Melman, Aaron

M.Sc. in Applied Mathematics, Technion (Israel Institute of Technology) Ph.D. in Applied Mathematics, Caltech (California Institute of Technology) [1] A. Melman (2023): “Matrices whose eigenvalues are ...
JSTOR Daily

The Computation of Eigenvalues. I. Real Symmetric Matrices

In this paper several algorithms for finding the eigenvalues of real symmetric matrices are discussed and compared. The algorithms have been programmed by the author for the IBM 7094. Descriptions of ...
Simon Fraser University

EIGVAL Function

where A is a square numeric matrix. The EIGVAL function returns a column vector of the eigenvalues of A. See the description of the EIGEN subroutine for more details. The following code computes ...
JSTOR Daily

On Wielandt's Inequality and Its Application to the Asymptotic Distribution of the Eigenvalues of a Random Symmetric Matrix

A relatively obscure eigenvalue due to Wielandt is used to give a simple derivation of the asymptotic distribution of the eigenvalues of a random symmetric matrix. The asymptotic distributions are ...