Class SmoothingPolynomialBicubicSplineInterpolator
- java.lang.Object
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- org.apache.commons.math.analysis.interpolation.BicubicSplineInterpolator
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- org.apache.commons.math.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator
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- All Implemented Interfaces:
BivariateRealGridInterpolator
public class SmoothingPolynomialBicubicSplineInterpolator extends BicubicSplineInterpolator
Generates a bicubic interpolation function. Prior to generating the interpolating function, the input is smoothed using polynomial fitting.- Since:
- 2.2
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Constructor Summary
Constructors Constructor Description SmoothingPolynomialBicubicSplineInterpolator()
Default constructor.SmoothingPolynomialBicubicSplineInterpolator(int degree)
SmoothingPolynomialBicubicSplineInterpolator(int xDegree, int yDegree)
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description BicubicSplineInterpolatingFunction
interpolate(double[] xval, double[] yval, double[][] fval)
Computes an interpolating function for the data set.
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Constructor Detail
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SmoothingPolynomialBicubicSplineInterpolator
public SmoothingPolynomialBicubicSplineInterpolator()
Default constructor. The degree of the fitting polynomials is set to 3.
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SmoothingPolynomialBicubicSplineInterpolator
public SmoothingPolynomialBicubicSplineInterpolator(int degree)
- Parameters:
degree
- Degree of the polynomial fitting functions.
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SmoothingPolynomialBicubicSplineInterpolator
public SmoothingPolynomialBicubicSplineInterpolator(int xDegree, int yDegree)
- Parameters:
xDegree
- Degree of the polynomial fitting functions along the x-dimension.yDegree
- Degree of the polynomial fitting functions along the y-dimension.
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Method Detail
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interpolate
public BicubicSplineInterpolatingFunction interpolate(double[] xval, double[] yval, double[][] fval) throws MathException
Computes an interpolating function for the data set.- Specified by:
interpolate
in interfaceBivariateRealGridInterpolator
- Overrides:
interpolate
in classBicubicSplineInterpolator
- Parameters:
xval
- All the x-coordinates of the interpolation points, sorted in increasing order.yval
- All the y-coordinates of the interpolation points, sorted in increasing order.fval
- The values of the interpolation points on all the grid knots:fval[i][j] = f(xval[i], yval[j])
.- Returns:
- a function which interpolates the data set.
- Throws:
MathException
- if arguments violate assumptions made by the interpolation algorithm.
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