Seems like GE on a 2x2 matrix should be pretty darn fast.... especially if you use scalar * vector type operations.
Abstract Let A be an n × n Hermitian matrix and A = UΛUH be its spectral decomposition, where U is a unitary matrix of order n and Λ is a diagonal matrix. In this note we present the perturbation ...
Abstract: Matrices are the foundation of science and engineering. For artificial intelligence (AI) and Internet of Things (IoT) tasks, developing a hardware efficient way to find the eigenvector of ...
Welcome to our Eigenvalue and Eigenvector Solver! This Python program utilizes the Iterative Power Method to compute eigenvalues and eigenvectors of a given matrix. The program prompts you to enter ...
The eigenvector empirical spectral distribution (VESD) is a useful tool in studying the limiting behavior of eigenvalues and eigenvectors of covariance matrices. In this paper, we study the ...
This project is a Python implementation of a function that computes the eigenvalues and eigenvectors of a square matrix using the NumPy library. It also performs a verification of the equality A⋅v=λ⋅v ...