Constrained Hermite Taylor Series Least Squares

Estimate Derivatives on Scattered or Unstructured Mesh.
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Updated 24 Sep 2011

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Like the finite difference method, the Taylor Series Least Squares method can be used to estimate derivatives. The TLS technique can be used to estimate derivatives from scattered or unstructured data. The Hermite Taylor Series Least Squares technique augments the TLS approach with information about the derivative of the function. The Constrained Hermite Taylor Series Least Squares technique augments the HTLS technique by constraining the least squares problem to match the derivative at the point of interest.

This method is fully developed in:

McDonald, Robert A. and Ramos, Alejandro, 'Constrained Hermite Interpolation for Mesh-Free Derivative Estimation Near and On Boundaries', AIAA Journal, October 2011 vol. 49 no. 10, pp. 2248-2257. DOI: 10.2514/1.J051042

Cite As

Rob McDonald (2024). Constrained Hermite Taylor Series Least Squares (https://www.mathworks.com/matlabcentral/fileexchange/29122-constrained-hermite-taylor-series-least-squares), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2010b
Compatible with any release
Platform Compatibility
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Version Published Release Notes
1.5.0.0

v. 1.0.2.0 -- Add citation to corresponding journal article.

1.3.0.0

v. 1.0.1.0 -- Change sign to correct inverse distance weight function.

1.0.0.0