Lagrange interpolation polynomial fitting with MATLAB

Version 1.1.0.0 (2.32 KB) by Tamir Suliman
Lagrange interpolation polynomial fitting
3.0
(2)
650 Downloads
Updated 23 Mar 2023

View License

Lagrange interpolation polynomial fitting a set of points LAGRANG(X,Y,N,XX) where X and Y are row vector defining a set of N points uses Lagrange's method to find the N th order polynomial in X that passes through these points.
This program calculates and plots the Lagrange interpolation polynomial for a given set of data points. The Lagrange interpolation is a method to find an (n-1)th order polynomial that passes through n data points (x, y).
The input parameters for the program are:
  1. x: A row vector containing the x-coordinates of the data points.
  2. y: A row vector containing the y-coordinates of the data points.
  3. n: The number of data points.
  4. xx: A specific x-value to evaluate the interpolation polynomial.

Cite As

Tamir Suliman (2024). Lagrange interpolation polynomial fitting with MATLAB (https://www.mathworks.com/matlabcentral/fileexchange/60686-lagrange-interpolation-polynomial-fitting-with-matlab), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2016b
Compatible with any release
Platform Compatibility
Windows macOS Linux
Categories
Find more on Polynomials in Help Center and MATLAB Answers

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Lagrang

Version Published Release Notes
1.1.0.0

* Moved the function description to the first line as a comment block.
* Added semicolons to suppress unnecessary output.
* Used 'ro' and 'b-' in the plot function to distinguish the original points

1.0.0.0

updated figure
comments section