Seems like GE on a 2x2 matrix should be pretty darn fast.... especially if you use scalar * vector type operations.

Matrices are commonly used in machine learning and data science to represent data and its transformations. In this week, you will learn how matrices naturally arise from systems of equations and how ...

The Kalman variety of a linear subspace in a vector space consists of all endomorphisms that possess an eigenvector in that subspace. We study the defining polynomials and basic geometric invariants ...

Abstract: The problem of detecting differences between the principal eigenvectors of the covariance matrices of two independent multivariate time series is studied. A statistical test is proposed ...