This repository provides a collection of tools, algorithms, and functions for working with matrices in mathematics. The goal of this project is to provide an easy-to-use set of operations for matrix ...

📊 Mathematics for Machine Learning 🚀 Welcome to the Mathematics for Machine Learning Repository! This repository covers the essential mathematical concepts required for Machine Learning (ML) and ...

Performing matrix operations on a calculator can save you time and ensure accurate results when tackling matrices in math, engineering, or data analysis. This guide will walk you through the process ...

ABSTRACT: One of the most important properties of M-matrices is element-wise non-negative of its inverse. In this paper, we consider element-wise perturbations of tridiagonal M-matrices and obtain ...

This paper is concerned about testing whether a cross-covariance matrix deviates from a pre-assigned one or not. For this purpose, a new test statistic is constructed based on the Frobenius norm of ...

The doctoral degree in Mathematics at Drexel features research opportunities in many areas of both pure and applied mathematics. Departmental research interests include: mathematical biology, applied ...

Artificial intelligence grows more demanding every year. Modern models learn and operate by pushing huge volumes of data through repeated matrix operations that sit at the heart of every neural ...