Least squares adjustment software

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

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

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

Some numerical optimization method in Python

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

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.

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

This repository contains a CUDA/C++ implementation of a distinct algorithmic approach for finding the linear recurrence relation (with least possible order) of a real-valued, noisy 1D sequence in near-linear time.

Least squares adjustment software

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

Michael-Menten and Lineweaver-Burk Plot

Code scripts for implementing Bjorck-Duff's algorithm.

CPU temperature data computation project

Find the minimum-order linear recurrence relation in noisy 1D sequences using a GPU-accelerated, CUDA-based fast solver with optimized complexity.