Linear Algebra
One of the oldest and most thoroughly studied problems in both linear algebra and numerical analysis is finding solutions for Ax = f. In a first linear algebra class, one might learn about how to identify what matrices are invertible, and calculate inverses by hand (very likely by means of Gaussian
Machine Learning
In the Deep Learning (DL) age, more and more people have encountered and used (knowingly or not) random matrices. Most of the time this use is limited to the initialization of the networks weights, that can be accomplished with a single line of code in your favorite DL framework.
Linear Algebra
SVD decomposition and a demo of an image compression.
Linear Algebra
How Divide-And-Conquer Comes to the Rescue (again)
Linear Algebra
Linear algebraic equations are one of the simplest equations that we can solve. If there is only one variable, then the solutions are…