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Lagrange's Polynomial Interpolation based on weighted factors or Lagrange polynomials with sum = 1.
Example data:
x = [1 4 6 5]; % x vector
y = log(x); % y = f(x) vector
xp = 2 or xp = [2 3]; % x point(s) (scalar or vector) query
Use:
yp = Lagrangeinterp(x,y,xp)
to calculate
yp = f(x point) point(s) (scalar or vector)
[~,L] = Lagrangeinterp(x,y,xp)
to output the Lagrange polynomial cell array
Cite As
Roche de Guzman (2026). Lagrange's Polynomial Interpolation (https://au.mathworks.com/matlabcentral/fileexchange/94065-lagrange-s-polynomial-interpolation), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0 (4.04 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
