MATLAB Code Implementation of Common Interpolation Algorithms

This document shares source code implementations for various common interpolation algorithms in MATLAB, containing both my original implementations and programs obtained from online sources. These codes demonstrate practical approaches to implementing interpolation methods and showcase how to effectively utilize interpolation techniques within the MATLAB environment. The collection includes implementations of key interpolation algorithms such as linear interpolation, cubic spline interpolation, nearest neighbor interpolation, and polynomial interpolation, each featuring appropriate MATLAB function usage and algorithm-specific parameter handling. These examples serve as valuable references for understanding interpolation methodology, algorithm optimization techniques, and proper MATLAB coding practices for numerical computation tasks. The code can be adapted for various projects requiring data approximation, curve fitting, or missing value estimation, with comments explaining key functions like interp1, spline, and griddedInterpolant along with their respective parameter configurations.