Polynome regression

In the framework of this publication a novel algorithm especially for adjustment calculus of measured surfaces was developed. It's able to adjust polynomes with a multiplicity of coefficients as well as dimensions (positive and negative potences) to a given dataset. All of this with a minimum of computing time. The algorithm uses the method of least squares. A theoretical part was written to explain the algorithm in detail. Furthermore a complete easy-to-use Scilab script including examples was written.

  • Article regarding the algorithm here
  • Scilab scripts for easy use here
  • If someone is translating the code into an other language please let me know via the contact form.