Package org.apache.commons.math4.legacy.analysis.interpolation

Class PiecewiseBicubicSplineInterpolator

java.lang.Object

org.apache.commons.math4.legacy.analysis.interpolation.PiecewiseBicubicSplineInterpolator

All Implemented Interfaces:

BivariateGridInterpolator

public class PiecewiseBicubicSplineInterpolator
extends Object
implements BivariateGridInterpolator

Generates a piecewise-bicubic interpolating function.

Since:

2.2

Constructor Summary

Constructors

Constructor	Description
PiecewiseBicubicSplineInterpolator()

Method Summary

Modifier and Type	Method	Description
PiecewiseBicubicSplineInterpolatingFunction	interpolate(double[] xval, double[] yval, double[][] fval)	Compute an interpolating function for the dataset.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

PiecewiseBicubicSplineInterpolator

public PiecewiseBicubicSplineInterpolator()

Method Detail

interpolate

public PiecewiseBicubicSplineInterpolatingFunction interpolate(double[] xval,
                                                               double[] yval,
                                                               double[][] fval)
                                                        throws DimensionMismatchException,
                                                               NullArgumentException,
                                                               NoDataException,
                                                               NonMonotonicSequenceException

Compute an interpolating function for the dataset.

Specified by:

interpolate in interface BivariateGridInterpolator

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:

DimensionMismatchException - if the array lengths are inconsistent.

NoDataException - if any of the arrays has zero length.

NonMonotonicSequenceException - if the array is not sorted.

NullArgumentException