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surface interpolations
- This topic has 2 replies, 2 voices, and was last updated 14 years, 3 months ago by matt neil.
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September 11, 2010 at 12:23 am #12559matt neilMember
Does anyone know if there is a way to do a surface interpolation with an x, y, and z dataset other than the “Natural Neighbor” interpolation? I am wanting to try a polynomial fit with the end result of getting the coefficients for the equation of the resulting surface. Thank you.
September 11, 2010 at 12:23 am #8222matt neilMemberDoes anyone know if there is a way to do a surface interpolation with an x, y, and z dataset other than the “Natural Neighbor” interpolation? I am wanting to try a polynomial fit with the end result of getting the coefficients for the equation of the resulting surface. Thank you.
September 14, 2010 at 12:42 am #8903Bernhard KantzParticipantIf you want to calculate the coefficients of a polynomial with 2 dependent variables, you can use the NonLinCurveFit-function.
Example:
The dataset ‘Data’ is a space curve with a x-, y- and z-component.
Model function: y = p0 + p1 * x + p2 * z + p3 * x^2 + p4 * z^2FPScript code:
NonLinCurveFit("p[0] + p[1] * d.[0] + p[2] * d.[1] + p[3] * d.[0]^2 + p[4] * d.[1]^2", Data.y, {1,1,0,0,0}, , , , , , NLCF_OUTPUT_SOLUTION , , ,[[Data.Y, Data.Z]])
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