JacobianPropagatorConverter.java
/* Copyright 2002-2016 CS Systèmes d'Information
* Licensed to CS Systèmes d'Information (CS) under one or more
* contributor license agreements. See the NOTICE file distributed with
* 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.propagation.conversion;
import org.apache.commons.math3.analysis.MultivariateMatrixFunction;
import org.apache.commons.math3.analysis.MultivariateVectorFunction;
import org.orekit.errors.OrekitException;
import org.orekit.errors.OrekitExceptionWrapper;
import org.orekit.errors.PropagationException;
import org.orekit.propagation.SpacecraftState;
import org.orekit.propagation.numerical.JacobiansMapper;
import org.orekit.propagation.numerical.NumericalPropagator;
import org.orekit.propagation.numerical.PartialDerivativesEquations;
import org.orekit.propagation.sampling.OrekitStepHandler;
import org.orekit.propagation.sampling.OrekitStepInterpolator;
import org.orekit.time.AbsoluteDate;
import org.orekit.utils.PVCoordinates;
/** Propagator converter using the real jacobian.
* @author Pascal Parraud
* @since 6.0
*/
public class JacobianPropagatorConverter extends AbstractPropagatorConverter {
/** Numerical propagator builder. */
private final NumericalPropagatorBuilder builder;
/** Simple constructor.
* @param builder builder for adapted propagator
* @param threshold absolute threshold for optimization algorithm
* @param maxIterations maximum number of iterations for fitting
*/
public JacobianPropagatorConverter(final NumericalPropagatorBuilder builder,
final double threshold,
final int maxIterations) {
super(builder, threshold, maxIterations);
this.builder = builder;
}
/** {@inheritDoc} */
protected MultivariateVectorFunction getObjectiveFunction() {
return new ObjectiveFunction();
}
/** {@inheritDoc} */
protected MultivariateMatrixFunction getObjectiveFunctionJacobian() {
return new ObjectiveFunctionJacobian();
}
/** Internal class for computing position/velocity at sample points. */
private class ObjectiveFunction implements MultivariateVectorFunction {
/** {@inheritDoc} */
public double[] value(final double[] arg)
throws IllegalArgumentException, OrekitExceptionWrapper {
try {
final double[] eval = new double[getTargetSize()];
final NumericalPropagator prop = builder.buildPropagator(getDate(), arg);
int k = 0;
for (SpacecraftState state : getSample()) {
final PVCoordinates pv = prop.getPVCoordinates(state.getDate(), getFrame());
eval[k++] = pv.getPosition().getX();
eval[k++] = pv.getPosition().getY();
eval[k++] = pv.getPosition().getZ();
if (!isOnlyPosition()) {
eval[k++] = pv.getVelocity().getX();
eval[k++] = pv.getVelocity().getY();
eval[k++] = pv.getVelocity().getZ();
}
}
return eval;
} catch (OrekitException ex) {
throw new OrekitExceptionWrapper(ex);
}
}
}
/** Internal class for computing position/velocity Jacobian at sample points. */
private class ObjectiveFunctionJacobian implements MultivariateMatrixFunction {
/** {@inheritDoc} */
public double[][] value(final double[] arg)
throws IllegalArgumentException, OrekitExceptionWrapper {
try {
final double[][] jacob = new double[getTargetSize()][arg.length];
final NumericalPropagator prop = builder.buildPropagator(getDate(), arg);
final int stateSize = isOnlyPosition() ? 3 : 6;
final int paramSize = getFreeParameters().size();
final PartialDerivativesEquations pde = new PartialDerivativesEquations("pde", prop);
pde.selectParameters(getFreeParameters().toArray(new String[0]));
prop.setInitialState(pde.setInitialJacobians(prop.getInitialState(), stateSize, paramSize));
final JacobiansMapper mapper = pde.getMapper();
final JacobianHandler handler = new JacobianHandler(mapper);
prop.setMasterMode(handler);
int i = 0;
for (SpacecraftState state : getSample()) {
prop.propagate(state.getDate());
final double[][] dYdY0 = handler.getdYdY0();
final double[][] dYdP = handler.getdYdP();
for (int k = 0; k < stateSize; k++, i++) {
System.arraycopy(dYdY0[k], 0, jacob[i], 0, stateSize);
System.arraycopy(dYdP[k], 0, jacob[i], stateSize, paramSize);
}
}
return jacob;
} catch (OrekitException ex) {
ex.printStackTrace(System.err);
throw new OrekitExceptionWrapper(ex);
}
}
}
/** Internal class for jacobians handling. */
private static class JacobianHandler implements OrekitStepHandler {
/** Jacobians mapper. */
private transient JacobiansMapper mapper;
/** Jacobian with respect to state. */
private final double[][] dYdY0;
/** Jacobian with respect to parameters. */
private final double[][] dYdP;
/** Simple constructor.
* @param mapper Jacobians mapper
*/
JacobianHandler(final JacobiansMapper mapper) {
this.mapper = mapper;
this.dYdY0 = new double[mapper.getStateDimension()][mapper.getStateDimension()];
this.dYdP = new double[mapper.getStateDimension()][mapper.getParameters()];
}
/** Get the jacobian with respect to state.
* @return jacobian with respect to state
*/
public double[][] getdYdY0() {
return dYdY0;
}
/** Get the jacobian with respect to parameters.
* @return jacobian with respect to parameters
*/
public double[][] getdYdP() {
return dYdP;
}
/** {@inheritDoc} */
public void init(final SpacecraftState s0, final AbsoluteDate t) {
}
/** {@inheritDoc} */
public void handleStep(final OrekitStepInterpolator interpolator, final boolean isLast)
throws PropagationException {
try {
// we want the Jacobians at the end of last step
if (isLast) {
interpolator.setInterpolatedDate(interpolator.getCurrentDate());
final SpacecraftState state = interpolator.getInterpolatedState();
mapper.getStateJacobian(state, dYdY0);
mapper.getParametersJacobian(state, dYdP);
}
} catch (PropagationException pe) {
throw pe;
} catch (OrekitException oe) {
throw new PropagationException(oe);
}
}
}
}