org.apache.commons.math3.analysis.interpolation
Class SmoothingPolynomialBicubicSplineInterpolator
java.lang.Object
org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolator
org.apache.commons.math3.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator
- All Implemented Interfaces:
- BivariateGridInterpolator
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
- Version:
- $Id: SmoothingPolynomialBicubicSplineInterpolator.java 7721 2013-02-14 14:07:13Z CardosoP $
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
SmoothingPolynomialBicubicSplineInterpolator
public SmoothingPolynomialBicubicSplineInterpolator()
- Default constructor. The degree of the fitting polynomials is set to 3.
SmoothingPolynomialBicubicSplineInterpolator
public SmoothingPolynomialBicubicSplineInterpolator(int degree)
- Parameters:
degree
- Degree of the polynomial fitting functions.
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.
interpolate
public BicubicSplineInterpolatingFunction interpolate(double[] xval,
double[] yval,
double[][] fval)
throws NoDataException,
DimensionMismatchException
- Compute an interpolating function for the dataset.
- Specified by:
interpolate
in interface BivariateGridInterpolator
- Overrides:
interpolate
in class BicubicSplineInterpolator
- 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 dataset.
- Throws:
NoDataException
- if any of the arrays has zero length.
DimensionMismatchException
- if the array lengths are inconsistent.
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