In this example, we want to fit a polynomial to a 2D surface. Suppose the surface is described by
f(x) = x^2 + y^2 + 2 x y
A fit to such data can be performed as follows:
.. literalinclude:: ../../examples/poly_surface_fit.py
:language: python
This code prints:
z(x, y; c1, c2) = c1*x**2 + c1*y**2 + c2*x*y Parameter Value Standard Deviation c1 9.973489e-01 1.203071e-03 c2 1.996901e+00 3.736484e-03 Fitting status message: Optimization terminated successfully. Number of iterations: 6 Regression Coefficient: 0.9952824293713467
