MATLAB Code Implementation for Ellipse Fitting
MATLAB code for ellipse fitting using least squares method, capable of processing datasets with at least 5 points for robust elliptical shape approximation.
MATLAB Implementation of Linear Equations with Numerical Algorithms
MATLAB implementations of numerical algorithms including linear equations, nonlinear equations, least squares fitting, and related computational methods.
Least Squares Linear Fitting Algorithm Implementation in MATLAB
Least squares fitting method, linear regression algorithm using least squares, MATLAB implementation of linear least squares fitting with code examples and mathematical foundations.
Nonlinear Least Squares Fitting with MATLAB Implementation
Performing nonlinear least squares fitting using MATLAB for mathematical modeling and experimentation, with algorithm selection and parameter optimization techniques
Nonlinear Least Squares Fitting: Optimized Implementation and Algorithm Insights
Successfully implemented nonlinear least squares fitting with intensive debugging and significant code optimization. This implementation utilizes advanced algorithms and demonstrates improved computational efficiency.
Least Squares Polynomial Fitting Using Orthogonal Polynomials Algorithm
This algorithm implements least squares polynomial fitting through orthogonal polynomials, utilizing numerical stability properties of orthogonal bases for improved computational accuracy.
Edge Localization Methods in Iris Recognition Systems
Edge Localization Techniques for Iris Boundary Detection with Algorithm Implementation Details
Least Squares Surface Fitting Program
A MATLAB-based implementation of least squares surface fitting using polynomial regression algorithms
MATLAB Source Code for Least Squares Fitting Based on Matrix QR Decomposition
MATLAB implementation of least squares fitting using QR decomposition algorithm with detailed code structure and numerical stability analysis