In this paper, the method for solving square fuzzy linear systems, when a matrix associated to fuzzy linear system is an EP matrix will be shown. Numerical example will be presented to illustrate the ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Cayley-Hamilton technique. Compared to other matrix inverse algorithms, ...

We present a reduced complexity algorithm to compute the inverse overlap factors required to solve the generalized eigenvalue problem in a quantum-based molecular dynamics (MD) simulation. Our method ...

Solving Linear Systems (NumPy) Most linear algebra courses start by considering how to solve a system of linear equations.

This project implements a linear solver using triangulation methods to efficiently solve systems of linear equations. Developed for the "Calcul formel et Numérique" course INFO-F205, it focuses on ...

Welcome to issues! Issues are used to track todos, bugs, feature requests, and more. As issues are created, they’ll appear here in a searchable and filterable list. To get started, you should create ...

More recently, in order to solve a set of multi-linear equations using tensor inversion, a specific notion of tensor singular value decomposition and eigenvalue decomposition was introduced in Brazell ...

It's not feasible to list all the machine learning algorithms that use matrix inverses -- there are just too many. That said however, examples of ML algorithms that use a matrix inverse are linear ...