org.apache.commons.math.analysis.interpolation.DividedDifferenceInterpolator Maven / Gradle / Ivy
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* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
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* See the License for the specific language governing permissions and
* limitations under the License.
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package org.apache.commons.math.analysis.interpolation;
import java.io.Serializable;
import org.apache.commons.math.DuplicateSampleAbscissaException;
import org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm;
import org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm;
/**
* Implements the
* Divided Difference Algorithm for interpolation of real univariate
* functions. For reference, see Introduction to Numerical Analysis,
* ISBN 038795452X, chapter 2.
*
* The actual code of Neville's evaluation is in PolynomialFunctionLagrangeForm,
* this class provides an easy-to-use interface to it.
*
* @version $Revision: 825919 $ $Date: 2009-10-16 16:51:55 +0200 (ven. 16 oct. 2009) $
* @since 1.2
*/
public class DividedDifferenceInterpolator implements UnivariateRealInterpolator,
Serializable {
/** serializable version identifier */
private static final long serialVersionUID = 107049519551235069L;
/**
* Computes an interpolating function for the data set.
*
* @param x the interpolating points array
* @param y the interpolating values array
* @return a function which interpolates the data set
* @throws DuplicateSampleAbscissaException if arguments are invalid
*/
public PolynomialFunctionNewtonForm interpolate(double x[], double y[]) throws
DuplicateSampleAbscissaException {
/**
* a[] and c[] are defined in the general formula of Newton form:
* p(x) = a[0] + a[1](x-c[0]) + a[2](x-c[0])(x-c[1]) + ... +
* a[n](x-c[0])(x-c[1])...(x-c[n-1])
*/
PolynomialFunctionLagrangeForm.verifyInterpolationArray(x, y);
/**
* When used for interpolation, the Newton form formula becomes
* p(x) = f[x0] + f[x0,x1](x-x0) + f[x0,x1,x2](x-x0)(x-x1) + ... +
* f[x0,x1,...,x[n-1]](x-x0)(x-x1)...(x-x[n-2])
* Therefore, a[k] = f[x0,x1,...,xk], c[k] = x[k].
*
* Note x[], y[], a[] have the same length but c[]'s size is one less.
*/
final double[] c = new double[x.length-1];
System.arraycopy(x, 0, c, 0, c.length);
final double[] a = computeDividedDifference(x, y);
return new PolynomialFunctionNewtonForm(a, c);
}
/**
* Returns a copy of the divided difference array.
*
* The divided difference array is defined recursively by
* f[x0] = f(x0)
* f[x0,x1,...,xk] = (f(x1,...,xk) - f(x0,...,x[k-1])) / (xk - x0)
*
*
* The computational complexity is O(N^2).
*
* @param x the interpolating points array
* @param y the interpolating values array
* @return a fresh copy of the divided difference array
* @throws DuplicateSampleAbscissaException if any abscissas coincide
*/
protected static double[] computeDividedDifference(final double x[], final double y[])
throws DuplicateSampleAbscissaException {
PolynomialFunctionLagrangeForm.verifyInterpolationArray(x, y);
final double[] divdiff = y.clone(); // initialization
final int n = x.length;
final double[] a = new double [n];
a[0] = divdiff[0];
for (int i = 1; i < n; i++) {
for (int j = 0; j < n-i; j++) {
final double denominator = x[j+i] - x[j];
if (denominator == 0.0) {
// This happens only when two abscissas are identical.
throw new DuplicateSampleAbscissaException(x[j], j, j+i);
}
divdiff[j] = (divdiff[j+1] - divdiff[j]) / denominator;
}
a[i] = divdiff[0];
}
return a;
}
}