1   /* Copyright 2002-2022 CS GROUP
2    * Licensed to CS GROUP (CS) under one or more
3    * contributor license agreements.  See the NOTICE file distributed with
4    * this work for additional information regarding copyright ownership.
5    * CS licenses this file to You under the Apache License, Version 2.0
6    * (the "License"); you may not use this file except in compliance with
7    * the License.  You may obtain a copy of the License at
8    *
9    *   http://www.apache.org/licenses/LICENSE-2.0
10   *
11   * Unless required by applicable law or agreed to in writing, software
12   * distributed under the License is distributed on an "AS IS" BASIS,
13   * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14   * See the License for the specific language governing permissions and
15   * limitations under the License.
16   */
17  package org.orekit.propagation.analytical;
18  
19  import org.hipparchus.linear.RealMatrix;
20  import org.orekit.utils.DoubleArrayDictionary;
21  
22  /**
23   * Harvester between two-dimensional Jacobian matrices and
24   * one-dimensional {@link EcksteinHechlerPropagator}.
25   *
26   * @author Bryan Cazabonne
27   * @since 11.1
28   */
29  class EcksteinHechlerHarvester extends AbstractAnalyticalMatricesHarvester {
30  
31      /** Propagator bound to this harvester. */
32      private final EcksteinHechlerPropagator propagator;
33  
34      /** Simple constructor.
35       * <p>
36       * The arguments for initial matrices <em>must</em> be compatible with the
37       * {@link org.orekit.orbits.OrbitType orbit type}
38       * and {@link org.orekit.orbits.PositionAngle position angle} that will be used by propagator
39       * </p>
40       * @param propagator propagator bound to this harvester
41       * @param stmName State Transition Matrix state name
42       * @param initialStm initial State Transition Matrix ∂Y/∂Y₀,
43       * if null (which is the most frequent case), assumed to be 6x6 identity
44       * @param initialJacobianColumns initial columns of the Jacobians matrix with respect to parameters,
45       * if null or if some selected parameters are missing from the dictionary, the corresponding
46       * initial column is assumed to be 0
47       */
48      EcksteinHechlerHarvester(final EcksteinHechlerPropagator propagator, final String stmName,
49                               final RealMatrix initialStm, final DoubleArrayDictionary initialJacobianColumns) {
50          super(propagator, stmName, initialStm, initialJacobianColumns);
51          this.propagator = propagator;
52      }
53  
54      /** {@inheritDoc} */
55      @Override
56      public AbstractAnalyticalGradientConverter getGradientConverter() {
57          return new EcksteinHechlerGradientConverter(propagator);
58      }
59  
60  }