Computing the inverse of a matrix is one of the most important operations in machine learning. If some matrix A has shape n-by-n, then its inverse matrix Ai is n-by-n and the matrix product of Ai * A ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most difficult tasks in numerical ...

This project is a matrix manipulation library that enables you to perform essential matrix calculations. With this library, you can create matrices, perform mathematical operations on matrices such as ...

⏱️ Estimated reading time: 3 hours (may vary depending on technical familiarity). This repository contains the top-performing submission for Task 4 (“Fast Row-Column Exchange”) from the 4th Global ...

Abstract: This paper introduces a useful technique which can be used in a parallel matrix multiplication with the tiling method. Firstly, we exploit the effect of the matrix transpose for the tiling ...

Abstract: Matrix transpose operations (sometime called corner turns) are used in many applications, such as neural network processing, pulse-Doppler processing, back projection algorithm and more.