BrouwerLyddaneHarvester.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.propagation.analytical;
import org.hipparchus.linear.RealMatrix;
import org.orekit.orbits.PositionAngleType;
import org.orekit.utils.DoubleArrayDictionary;
/**
* Harvester between two-dimensional Jacobian matrices and
* one-dimensional {@link BrouwerLyddanePropagator}.
*
* @author Bryan Cazabonne
* @since 11.1
*/
class BrouwerLyddaneHarvester extends AbstractAnalyticalMatricesHarvester {
/** Propagator bound to this harvester. */
private final BrouwerLyddanePropagator propagator;
/** Simple constructor.
* <p>
* The arguments for initial matrices <em>must</em> be compatible with the
* {@link org.orekit.orbits.OrbitType orbit type}
* and {@link PositionAngleType position angle} that will be used by propagator
* </p>
* @param propagator propagator bound to this harvester
* @param stmName State Transition Matrix state name
* @param initialStm initial State Transition Matrix ∂Y/∂Y₀,
* if null (which is the most frequent case), assumed to be 6x6 identity
* @param initialJacobianColumns initial columns of the Jacobians matrix with respect to parameters,
* if null or if some selected parameters are missing from the dictionary, the corresponding
* initial column is assumed to be 0
*/
BrouwerLyddaneHarvester(final BrouwerLyddanePropagator propagator, final String stmName,
final RealMatrix initialStm, final DoubleArrayDictionary initialJacobianColumns) {
super(propagator, stmName, initialStm, initialJacobianColumns);
this.propagator = propagator;
}
/** {@inheritDoc} */
@Override
public AbstractAnalyticalGradientConverter getGradientConverter() {
return new BrouwerLyddaneGradientConverter(propagator);
}
}