TimeStampedDoubleAndDerivativeHermiteInterpolator.java
/* Copyright 2002-2024 CS GROUP
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* this work for additional information regarding copyright ownership.
* CS licenses this file to You under the Apache License, Version 2.0
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*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
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package org.orekit.time;
import org.hipparchus.analysis.interpolation.HermiteInterpolator;
import java.util.List;
/**
* Hermite interpolator of time stamped double value.
*
* @author Vincent Cucchietti
* @author Luc Maisonobe
* @see HermiteInterpolator
* @see TimeInterpolator
*/
public class TimeStampedDoubleAndDerivativeHermiteInterpolator
extends AbstractTimeInterpolator<TimeStampedDoubleAndDerivative> {
/**
* Constructor with :
* <ul>
* <li>Default number of interpolation points of {@code DEFAULT_INTERPOLATION_POINTS}</li>
* <li>Default extrapolation threshold value ({@code DEFAULT_EXTRAPOLATION_THRESHOLD_SEC} s)</li>
* </ul>
* As this implementation of interpolation is polynomial, it should be used only with small number of interpolation
* points (about 10-20 points) in order to avoid <a href="http://en.wikipedia.org/wiki/Runge%27s_phenomenon">Runge's
* phenomenon</a> and numerical problems (including NaN appearing).
*/
public TimeStampedDoubleAndDerivativeHermiteInterpolator() {
this(DEFAULT_INTERPOLATION_POINTS);
}
/**
* Constructor with default extrapolation threshold value ({@code DEFAULT_EXTRAPOLATION_THRESHOLD_SEC} s).
* <p>
* As this implementation of interpolation is polynomial, it should be used only with small number of interpolation
* points (about 10-20 points) in order to avoid <a href="http://en.wikipedia.org/wiki/Runge%27s_phenomenon">Runge's
* phenomenon</a> and numerical problems (including NaN appearing).
*
* @param interpolationPoints number of interpolation points
*/
public TimeStampedDoubleAndDerivativeHermiteInterpolator(final int interpolationPoints) {
this(interpolationPoints, DEFAULT_EXTRAPOLATION_THRESHOLD_SEC);
}
/**
* Constructor.
* <p>
* As this implementation of interpolation is polynomial, it should be used only with small number of interpolation
* points (about 10-20 points) in order to avoid <a href="http://en.wikipedia.org/wiki/Runge%27s_phenomenon">Runge's
* phenomenon</a> and numerical problems (including NaN appearing).
*
* @param interpolationPoints number of interpolation points
* @param extrapolationThreshold extrapolation threshold beyond which the propagation will fail
*/
public TimeStampedDoubleAndDerivativeHermiteInterpolator(final int interpolationPoints, final double extrapolationThreshold) {
super(interpolationPoints, extrapolationThreshold);
}
/** {@inheritDoc} */
@Override
protected TimeStampedDoubleAndDerivative interpolate(final InterpolationData interpolationData) {
final HermiteInterpolator interpolator = new HermiteInterpolator();
// Fill interpolator with sample
final AbsoluteDate interpolationDate = interpolationData.getInterpolationDate();
final List<TimeStampedDoubleAndDerivative> neighborList = interpolationData.getNeighborList();
for (TimeStampedDoubleAndDerivative value : neighborList) {
final double deltaT = value.getDate().durationFrom(interpolationDate);
interpolator.addSamplePoint(deltaT,
new double[] { value.getValue() },
new double[] { value.getDerivative() });
}
final double[][] y = interpolator.derivatives(0, 1);
return new TimeStampedDoubleAndDerivative(y[0][0], y[1][0], interpolationDate);
}
}