Abstract: We describe the calculation of eigenvalues of 2 × 2 or 3 × 3 Hermitian matrices as used in the analysis of multilook polarimetric synthetic aperture radar (SAR) data. The eigenvalues are ...

Recently, in order to find the principal moments of inertia of a large number of rigid bodies, it was necessary to compute the eigenvalues of many real, symmetric 3 × 3 matrices. The available ...

On this page you will find the listing of graduate course descriptions (selected). See course listings for current semester, here. UB Registrar: Register for classes. Course information is subject to ...

Abstract: This technical note considers problems that involve eigenvalues of uncertain matrices expressed in linear fractional form using the structured singular value μ and the skewed structured ...

This article presents a from-scratch C# implementation of the second technique: using SVD to compute eigenvalues and eigenvectors from the standardized source data. If you're not familiar with PCA, ...

Transforming a dataset into one with fewer columns is more complicated than it might seem, explains Dr. James McCaffrey of Microsoft Research in this full-code, step-by-step machine learning tutorial.

My name is Christian Eltell. I was born in Colorado, but I've lived all my life in New York. I'm an NYU Tisch graduate with a Master's Degree in Cinema Studies, and a St. Joseph's College graduate ...

What are Quantum Chaos and Random Matrix Theory? Experimental, computational, and conceptual challenges are prevalent in the field of quantum chaos. The mathematical questions that have a direct ...