Lagrange Polynomial Interpolation, Gaussian Elimination for Solving Equations, Least Squares Fitting, Composite Trapezoidal Rule for Numerical Integration

This repository contains several self-developed MATLAB programs for numerical computations, implementing Lagrange Polynomial Interpolation, Gaussian Elimination for solving linear systems, Least Squares method for curve fitting, and Composite Trapezoidal Rule for numerical integration

MATLAB Implementation of Least Squares Fitting

Implementing least squares fitting in MATLAB requires first determining the functional form of the fitting model, which is crucial for accurate parameter estimation using numerical optimization algorithms.

Comparison between RANSAC Line Fitting and Least Squares Regression with Code Implementation Insights

A comprehensive comparison of RANSAC line fitting and least squares regression that provides significant value for readers new to RANSAC, including practical code considerations and algorithm behavior explanations.