Numerical methods algorithms developed in MATLAB

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

solving linear equations using QR decomposition written in pure python

Different methods to QR factorization

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

a collection of numerical methods written in python language.

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

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

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

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

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

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

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 repo. is to save the codes in my article "Low-Rank Matrix Completion via QR-Based Retraction on Manifolds"

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