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Numerical methods algorithms developed in MATLAB
Contains implementations of efficient representations of and updating algorithms for QR factorizations.
intro to MATLAB course for numerical analysis
A big matrix class written in C++, that serves advanced linear algebra techniques like SVD, QR factorization, inverse and eigenvalues.
complexarith is an attempt to model the complex field arithmetic in Java to be used in mathematical developments.
solving linear equations using QR decomposition written in pure python
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.
a collection of numerical methods written in python language.
Python Code to find QR factorization of an m x n matrix
QR decomposition of a matrix into an orthogonal and an upper triangle matrix
Numerical Methods for Ill-Conditioned Matrices - A project with Hilbert Matrix
Compilation of the assignments of the course of COL726: Numerical Algorithms (Spring 2021) and their solutions
QR Algorithm for finding eigenvalues & eigenvectors of a symmetric matrix using QR factorization with Householder reflections
This is a QR factorization of a complex matrix.
This is a QR factorization of a complex matrix using Java.
QR factorization of complex matrix using software extended precision floating point.
This repo. is to save the codes in my article "Low-Rank Matrix Completion via QR-Based Retraction on Manifolds"
Basic and advanced linear algebra and numerical problems, numerical algorithms, and techniques with multiple applications in the field of Computer Science.
Example project for a basic tool that creates the QR factorization for the given square matrix.