Different methods to QR factorization
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Updated
Jan 18, 2024 - MATLAB
Different methods to QR factorization
intro to MATLAB course for numerical analysis
Numerical Methods for Ill-Conditioned Matrices - A project with Hilbert 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.
This repo. is to save the codes in my article "Low-Rank Matrix Completion via QR-Based Retraction on Manifolds"
GMRES for large and sparse linear system
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