This is documentation for Mathematica 8, which was
based on an earlier version of the Wolfram Language.

# SplineFit

As of Version 7.0, some of the functionality of the Splines Package is now built into the Mathematica kernel.
 generates a SplineFunction object of the specified type from the points .
• A SplineFunction object is a function that parametrizes a curve specified by the points , such that an argument of 0 corresponds to , 1 corresponds to , etc.
• A cubic spline is made of piecewise third-order polynomials, with continuity, and interpolates each of the points it is created from. The second derivative of the spline at the endpoints is set to 0.
• A Bézier spline interpolates only the endpoints. The other points control the spline, forming a convex hull. Given n points, a spline of degree is created.
• A composite Bézier spline is made up of a series of third-order Bézier curves with continuity. It alternates interpolating points and control points.
• In a composite Bézier spline generated from an even number of points the last two points are reversed so that the final point is interpolated and the next to last is a control point for the final segment; if the spline is generated from an odd number of points, then the final vertex is doubled.
• The points are not restricted to two dimensions.
returns a SplineFunction of the appropriate type:
Fit three types of splines to a random set of five points:
Plot the resulting splines:
works in arbitrary dimensions:
Needs["Splines`"]
returns a SplineFunction of the appropriate type:
 Out[2]=
Fit three types of splines to a random set of five points:
 Out[3]=
Plot the resulting splines:
 Out[4]=
works in arbitrary dimensions:
 Out[5]=