ConstrainedSpline

Create a constrained spline from canonical solved state.

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Declaration

 self = ConstrainedSpline(options)

Parameters

• options.S spline degree scalar or vector with one entry per dimension
• options.knotAxes ordered knot-axis objects defining the spline basis
• options.xi fitted coefficient vector or array
• options.gridAxes ordered fit-grid axis objects
• options.distribution error model used during the fit
• options.dataPoints observation locations as an N-by-D point matrix
• options.dataValues observation values as an N-by-1 vector
• options.pointConstraints optional PointConstraint array used during fitting
• options.globalConstraints optional GlobalConstraint array used during fitting
• options.xMean optional additive output offset
• options.xStd optional multiplicative output scale

Returns

• self ConstrainedSpline instance

Discussion

Use this low-level constructor when you already have the solved spline coefficients, fit grid, observations, and semantic constraints. For ordinary one-dimensional fitting, use ConstrainedSpline.fromData(...). For rectilinear-grid fitting, use ConstrainedSpline.fromGriddedValues(...).