public Class NevilleInterpolator

Class Inheritance

extends Object
implements UnivariateInterpolator, Serializable

java.lang.Object
org.apache.commons.math3.analysis.interpolation.NevilleInterpolator

All Implemented Interfaces

java.io.Serializable, org.apache.commons.math3.analysis.interpolation.UnivariateInterpolator

Imports

java.io.Serializable, org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm, org.apache.commons.math3.exception.DimensionMismatchException, .NumberIsTooSmallException, .NonMonotonicSequenceException

Implements the Neville's Algorithm for interpolation of real univariate functions. For reference, see Introduction to Numerical Analysis, ISBN 038795452X, chapter 2.

The actual code of Neville's algorithm is in PolynomialFunctionLagrangeForm, this class provides an easy-to-use interface to it.

Since: 1.2

Field Summary

Modifier and Type	Field and Description
pack-priv static final long	serialVersionUID serializable version identifier

Constructor Summary

Access	Constructor and Description
public	NevilleInterpolator()

Method Summary

Modifier and Type	Method and Description
public PolynomialFunctionLagrangeForm	Returns: a function which interpolates the data set interpolate(double[] Interpolating points. x, double[] Interpolating values. y) Implements org.apache.commons.math3.analysis.interpolation.UnivariateInterpolator.interpolate. Computes an interpolating function for the data set.

Inherited from java.lang.Object:: clone equals finalize getClass hashCode notify notifyAll toString wait wait wait

Field Detail

serialVersionUID	back to summary
pack-priv static final long serialVersionUID serializable version identifier

Constructor Detail

NevilleInterpolator	back to summary
public NevilleInterpolator()

Method Detail

interpolate	back to summary
public PolynomialFunctionLagrangeForm interpolate(double[] x, double[] y) throws DimensionMismatchException, NumberIsTooSmallException, NonMonotonicSequenceException Implements org.apache.commons.math3.analysis.interpolation.UnivariateInterpolator.interpolate. Computes an interpolating function for the data set. Parameters x:double[] Interpolating points. y:double[] Interpolating values. Returns:PolynomialFunctionLagrangeForm a function which interpolates the data set Exceptions DimensionMismatchException: if the array lengths are different. NumberIsTooSmallException: if the number of points is less than 2. NonMonotonicSequenceException: if two abscissae have the same value.

interpolate

back to summary

public PolynomialFunctionLagrangeForm interpolate(double[] x, double[] y) throws DimensionMismatchException, NumberIsTooSmallException, NonMonotonicSequenceException

Implements org.apache.commons.math3.analysis.interpolation.UnivariateInterpolator.interpolate.

Computes an interpolating function for the data set.

Parameters

x:double[]: Interpolating points.
y:double[]: Interpolating values.

Returns:PolynomialFunctionLagrangeForm

a function which interpolates the data set

Exceptions

DimensionMismatchException:: if the array lengths are different.
NumberIsTooSmallException:: if the number of points is less than 2.
NonMonotonicSequenceException:: if two abscissae have the same value.