Scripts demonstrating a variety of adaptive control algorithms.

This repository contains various implementations and approximations of B-spline curves and surfaces.

2D bearing-only SLAM with least squares

This project implements in Python some common statistical analysis methods used in data analysis, including Entropy, Mutual Information, Kolmogorov–Smirnov test, Kullback-Leibler divergence (KLD), AB tests (Mann-Whitney U and t-tests)

Simulation of LSVSE on line and plane fitting

Regularized least-squares algorithm over the empirical risk minimization

Matlab function for least squares fitting of X-Y data to a circle

Total Least Squares with mixed and/or weighted disturbances

Least Squares optimization of a 2D -Range Only- SLAM problem.

Least Squares and Monte Carlo Comparison

A modified version of the historical MATLAB code MELT additionally enabling tail-fitting on lifetime spectra consisting of distributed characteristic lifetimes using Maximum Entropy for optimization

Matlab toolbox for model stable inversion based on least squares

GNSS Snapshot Positioning Algorithms Research

Design of FIR lowpass, highpass, bandpass, and bandstop filters in least squares or minimax sense.

Generalized least squares method which takes uncertainties in both dependent and independent variables.

This is a repository associated with the paper "An adaptive sampling and domain learning strategy for multivariate function approximation on unknown domains" by Ben Adcock, Juan M. Cardenas, and Nick Dexter available at https://arxiv.org/abs/2202.00144

MATLAB implementation of A Feature Selection Based on Perturbation Theory

intro to MATLAB course for numerical analysis

A heuristic hard thresholding algorithm to handle the robust least squares regression with adversarial corruption