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 ...
Nature

Eigenvalue Problems and Numerical Methods

Eigenvalue problems are a cornerstone of modern applied mathematics, arising in diverse fields from quantum mechanics to structural engineering. At their heart, these problems seek scalar values and ...
JSTOR Daily

Eigenvalues and Eigenvectors of a Combinatorial Matrix: Problem 89-4

SIAM Review contains articles that are written for a wide scientific audience. Articles include expository or survey papers focusing on important advances in applied or computational mathematics, or ...
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 ...
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 ...