This lecture provides an introduction to eigenvalues and eigenvectors, a central concept in linear algebra. We will discuss what they are, how they can be computed, and what they tell us about a ...

This repository implements this paper that allows us to calculate eigenvectors from eigenvalues elegantly through PyTorch that allows your code to run on your CPU, GPU, or TPU. Easily run it on your ...

Abstract: The eigenvalues of the sample covariance matrix can capture signal correlations and noise characteristics well, which are widely used for spectrum sensing in cognitive radio networks. Some ...

Identification of alcoholism is clinically important because of the way it affects the operation of the brain. Alcoholics are more vulnerable to health issues, such as immune disorders, high blood ...

Terence Tao, Eigenvectors from eigenvalues: a survey of a basic identity in linear algebra. [paper] Asok K. Mukherjee and Kali Kinkar Datta. Two new graph-theoretical methods for generation of ...