fromGriddedValues

Create a constrained spline fit from values on a rectilinear grid.

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Declaration

 self = fromGriddedValues(gridVectors,values,options)

Parameters

• gridVectors numeric vector in 1-D or cell array of grid vectors in higher dimensions
• values array of observation values on the supplied grid
• options.S spline degree scalar or vector with one entry per dimension
• options.knotPoints optional knot vector in 1-D or cell array of knot vectors
• options.splineDOF optional target number of splines per dimension
• options.distribution optional error model object for the fit
• options.constraints optional mixed SplineConstraint array

Returns

• self ConstrainedSpline instance

Discussion

Use this factory for fitting from rectilinear-grid samples, especially in two or more dimensions. In one dimension, prefer ConstrainedSpline.fromData(...). This method validates the gridded input, chooses the knot sequence, normalizes the constraint objects, solves the fit system, and then delegates to the cheap solved-state constructor.