Numerical methods algorithms developed in MATLAB

Contains implementations of efficient representations of and updating algorithms for QR factorizations.

Different methods to QR factorization

solving linear equations using QR decomposition written in pure python

A big matrix class written in C++, that serves advanced linear algebra techniques like SVD, QR factorization, inverse and eigenvalues.

intro to MATLAB course for numerical analysis

Python Code to find QR factorization of an m x n matrix

In this project it is used a Machine Learning model based on a method called Extreme Learning, with the employment of L2-regularization. In particular, a comparison was carried out between: (A1) which is a variant of incremental extreme learning machine that is QRIELM and (A2) which is a standard momentum descent approach, applied to the ELM.

Numerical Methods for Ill-Conditioned Matrices - A project with Hilbert Matrix

a collection of numerical methods written in python language.

QR Algorithm for finding eigenvalues & eigenvectors of a symmetric matrix using QR factorization with Householder reflections

complexarith is an attempt to model the complex field arithmetic in Java to be used in mathematical developments.

UNIPI: Computational Mathematics for Learning and Data Analysis 2019-2020: Project Omplementation

QR decomposition of a matrix into an orthogonal and an upper triangle matrix

Compilation of the assignments of the course of COL726: Numerical Algorithms (Spring 2021) and their solutions

Basic and advanced linear algebra and numerical problems, numerical algorithms, and techniques with multiple applications in the field of Computer Science.

This is a QR factorization of a complex matrix.

This is a QR factorization of a complex matrix using Java.

Example project for a basic tool that creates the QR factorization for the given square matrix.