fromData

Create a constrained spline fit from one-dimensional samples.

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Declaration

 self = fromData(t,x,options)

Parameters

• t one-dimensional sample locations
• x observation values sampled at t
• options.S spline degree
• options.knotPoints optional one-dimensional knot vector
• options.splineDOF optional target number of splines
• options.distribution optional error model object for the fit
• options.constraints optional mixed SplineConstraint array

Returns

• self ConstrainedSpline instance

Discussion

Use this factory for ordinary one-dimensional noisy-data fitting. It validates the shared sample vectors, then delegates to the general rectilinear-grid factory so the one-dimensional behavior stays aligned with ConstrainedSpline.fromGriddedValues(...).