Package smile.interpolation
Class ShepardInterpolation
java.lang.Object
smile.interpolation.ShepardInterpolation
Shepard interpolation is a special case of normalized radial basis function
interpolation if the function φ(r) goes to infinity as r → 0, and is
finite for
r > 0
. In this case, the weights wi are just equal to
the respective function values yi. So we need not solve linear
equations and thus it works for very large N.
An example of such φ is φ(r) = r-p
with
(typically) 1 < p <= 3
.
Shepard interpolation is rarely as accurate as the well-tuned application of other radial basis functions. However, it is simple, fast, and often just the thing for quick and dirty applications.
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Constructor Summary
ConstructorDescriptionShepardInterpolation
(double[][] x, double[] y) Constructor.ShepardInterpolation
(double[][] x, double[] y, double p) Constructor. -
Method Summary
Modifier and TypeMethodDescriptiondouble
interpolate
(double... x) Interpolate the function at given point.toString()
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Constructor Details
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ShepardInterpolation
public ShepardInterpolation(double[][] x, double[] y) Constructor. By default p = 2.- Parameters:
x
- the data points.y
- the function values atx
.
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ShepardInterpolation
public ShepardInterpolation(double[][] x, double[] y, double p) Constructor.- Parameters:
x
- the data points.y
- the function values atx
.p
- the parameter in the radial basis function φ(r) = r-p.
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Method Details