Least squares adjustment software

Accelerated Proximal Gradient (APG) algorithm implementation for Nuclear Norm regularized linear Least Squares problem (NNLS).

Some numerical optimization method in Python

The project involves sampling designs and summarizing data, maximum likelihood estimation of parameters, bootstrap, parametric and non-parametric inference, the analysis of variance, linear least squares, categorical data, elements of the decision theory and bayesian inference.

This repository contains a MATLAB implementation of the Householder method for solving linear least squares problems.

nodejs module for calculating a simple regression line from bivariate data using the 'linear least squares'

Reference implementations of Householder QR decomposition, Hessenberg reduction, eigenvalue QR-algorithm and QR-LLS using Eigen3 lib

LinearEquationsSolver provides a comprehensive solution for solving linear equations using the principles of linear algebra.

Least squares adjustment software

CPU temperature data computation project

Practice with various numerical schemes (Group homeworks, Numerical Algorithms 2023-24 @uva)

Code scripts for implementing Bjorck-Duff's algorithm.