Curve and Surface Fitting in MATLAB with Implementation Guide

Resource Overview

Comprehensive guide to curve and surface fitting in MATLAB, accompanied by detailed theoretical documentation in Word format. Includes practical implementation using MATLAB's fitting functions, algorithm explanations, and step-by-step code examples for both beginners and advanced users.

Detailed Documentation

This documentation provides a detailed guide on performing curve and surface fitting using MATLAB. Additionally, it includes a supplementary Word document containing comprehensive theoretical explanations. The content covers everything from fundamental concepts to advanced applications, making it suitable for both beginners and experienced users seeking deeper understanding. The material demonstrates practical implementation using MATLAB's core fitting functions such as polyfit for polynomial curve fitting, fit for custom model fitting, and scatteredInterpolant for surface fitting. Key algorithms including least squares regression, interpolation methods, and optimization techniques are explained with corresponding MATLAB code examples. You can follow the step-by-step procedures outlined in this documentation to gain valuable hands-on experience. The examples showcase how to preprocess data, select appropriate fitting models, validate results using goodness-of-fit metrics, and visualize outcomes using MATLAB's plotting functions. This resource serves as both a learning reference and practical implementation guide for real-world curve and surface fitting applications.