AbstractBatchLSModel.java

  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.estimation.leastsquares;

  18. import java.util.ArrayList;
  19. import java.util.Arrays;
  20. import java.util.Collections;
  21. import java.util.HashMap;
  22. import java.util.IdentityHashMap;
  23. import java.util.List;
  24. import java.util.Map;

  25. import org.hipparchus.linear.Array2DRowRealMatrix;
  26. import org.hipparchus.linear.ArrayRealVector;
  27. import org.hipparchus.linear.MatrixUtils;
  28. import org.hipparchus.linear.RealMatrix;
  29. import org.hipparchus.linear.RealVector;
  30. import org.hipparchus.optim.nonlinear.vector.leastsquares.MultivariateJacobianFunction;
  31. import org.hipparchus.util.FastMath;
  32. import org.hipparchus.util.Incrementor;
  33. import org.hipparchus.util.Pair;
  34. import org.orekit.estimation.measurements.EstimatedMeasurement;
  35. import org.orekit.estimation.measurements.ObservedMeasurement;
  36. import org.orekit.orbits.Orbit;
  37. import org.orekit.propagation.MatricesHarvester;
  38. import org.orekit.propagation.Propagator;
  39. import org.orekit.propagation.PropagatorsParallelizer;
  40. import org.orekit.propagation.SpacecraftState;
  41. import org.orekit.propagation.conversion.OrbitDeterminationPropagatorBuilder;
  42. import org.orekit.propagation.integration.AbstractJacobiansMapper;
  43. import org.orekit.propagation.sampling.MultiSatStepHandler;
  44. import org.orekit.time.AbsoluteDate;
  45. import org.orekit.time.ChronologicalComparator;
  46. import org.orekit.utils.ParameterDriver;
  47. import org.orekit.utils.ParameterDriversList;
  48. import org.orekit.utils.ParameterDriversList.DelegatingDriver;

  49. /** Bridge between {@link ObservedMeasurement measurements} and {@link
  50.  * org.hipparchus.optim.nonlinear.vector.leastsquares.LeastSquaresProblem
  51.  * least squares problems}.
  52.  * @author Luc Maisonobe
  53.  * @author Bryan Cazabonne
  54.  * @author Thomas Paulet
  55.  * @since 11.0
  56.  */
  57. public abstract class AbstractBatchLSModel implements MultivariateJacobianFunction {

  58.     /** Builders for propagators. */
  59.     private final OrbitDeterminationPropagatorBuilder[] builders;

  60.     /** Array of each builder's selected orbit drivers.
  61.      * @since 11.1
  62.      */
  63.     private final ParameterDriversList[] estimatedOrbitalParameters;

  64.     /** Array of each builder's selected propagation drivers. */
  65.     private final ParameterDriversList[] estimatedPropagationParameters;

  66.     /** Estimated measurements parameters. */
  67.     private final ParameterDriversList estimatedMeasurementsParameters;

  68.     /** Measurements. */
  69.     private final List<ObservedMeasurement<?>> measurements;

  70.     /** Start columns for each estimated orbit. */
  71.     private final int[] orbitsStartColumns;

  72.     /** End columns for each estimated orbit. */
  73.     private final int[] orbitsEndColumns;

  74.     /** Indirection array in measurements jacobians.
  75.      * @since 11.2
  76.      */
  77.     private final int[] orbitsJacobianColumns;

  78.     /** Map for propagation parameters columns. */
  79.     private final Map<String, Integer> propagationParameterColumns;

  80.     /** Map for measurements parameters columns. */
  81.     private final Map<String, Integer> measurementParameterColumns;

  82.     /** Last evaluations. */
  83.     private final Map<ObservedMeasurement<?>, EstimatedMeasurement<?>> evaluations;

  84.     /** Observer to be notified at orbit changes. */
  85.     private final ModelObserver observer;

  86.     /** Counter for the evaluations. */
  87.     private Incrementor evaluationsCounter;

  88.     /** Counter for the iterations. */
  89.     private Incrementor iterationsCounter;

  90.     /** Date of the first enabled measurement. */
  91.     private AbsoluteDate firstDate;

  92.     /** Date of the last enabled measurement. */
  93.     private AbsoluteDate lastDate;

  94.     /** Boolean indicating if the propagation will go forward or backward. */
  95.     private final boolean forwardPropagation;

  96.     /** Model function value. */
  97.     private RealVector value;

  98.     /** Harvesters for extracting State Transition Matrices and Jacobians from integrated states.
  99.      * @since 11.1
  100.      */
  101.     private final MatricesHarvester[] harvesters;

  102.     /** Model function Jacobian. */
  103.     private RealMatrix jacobian;

  104.     /**
  105.      * Constructor.
  106.      * @param propagatorBuilders builders to use for propagation
  107.      * @param measurements measurements
  108.      * @param estimatedMeasurementsParameters estimated measurements parameters
  109.      * @param harvesters harvesters for matrices (ignored since 11.1)
  110.      * @param observer observer to be notified at model calls
  111.      * @deprecated as of 11.1, replaced by [@link #AbstractBatchLSModel(OrbitDeterminationPropagatorBuilder[],
  112.      * List, ParameterDriversList, ModelObserver)}
  113.      */
  114.     @Deprecated
  115.     public AbstractBatchLSModel(final OrbitDeterminationPropagatorBuilder[] propagatorBuilders,
  116.                                 final List<ObservedMeasurement<?>> measurements,
  117.                                 final ParameterDriversList estimatedMeasurementsParameters,
  118.                                 final MatricesHarvester[] harvesters,
  119.                                 final ModelObserver observer) {
  120.         this(propagatorBuilders, measurements, estimatedMeasurementsParameters, observer);
  121.     }

  122.     /**
  123.      * Constructor.
  124.      * @param propagatorBuilders builders to use for propagation
  125.      * @param measurements measurements
  126.      * @param estimatedMeasurementsParameters estimated measurements parameters
  127.      * @param observer observer to be notified at model calls
  128.      */
  129.     public AbstractBatchLSModel(final OrbitDeterminationPropagatorBuilder[] propagatorBuilders,
  130.                                 final List<ObservedMeasurement<?>> measurements,
  131.                                 final ParameterDriversList estimatedMeasurementsParameters,
  132.                                 final ModelObserver observer) {

  133.         this.builders                        = propagatorBuilders.clone();
  134.         this.measurements                    = measurements;
  135.         this.estimatedMeasurementsParameters = estimatedMeasurementsParameters;
  136.         this.measurementParameterColumns     = new HashMap<>(estimatedMeasurementsParameters.getDrivers().size());
  137.         this.estimatedOrbitalParameters      = new ParameterDriversList[builders.length];
  138.         this.estimatedPropagationParameters  = new ParameterDriversList[builders.length];
  139.         this.evaluations                     = new IdentityHashMap<>(measurements.size());
  140.         this.observer                        = observer;
  141.         this.harvesters                      = new MatricesHarvester[builders.length];

  142.         // allocate vector and matrix
  143.         int rows = 0;
  144.         for (final ObservedMeasurement<?> measurement : measurements) {
  145.             rows += measurement.getDimension();
  146.         }

  147.         this.orbitsStartColumns    = new int[builders.length];
  148.         this.orbitsEndColumns      = new int[builders.length];
  149.         this.orbitsJacobianColumns = new int[builders.length * 6];
  150.         Arrays.fill(orbitsJacobianColumns, -1);
  151.         int columns = 0;
  152.         for (int i = 0; i < builders.length; ++i) {
  153.             this.orbitsStartColumns[i] = columns;
  154.             final List<ParameterDriversList.DelegatingDriver> orbitalParametersDrivers =
  155.                             builders[i].getOrbitalParametersDrivers().getDrivers();
  156.             for (int j = 0; j < orbitalParametersDrivers.size(); ++j) {
  157.                 if (orbitalParametersDrivers.get(j).isSelected()) {
  158.                     orbitsJacobianColumns[columns] = j;
  159.                     ++columns;
  160.                 }
  161.             }
  162.             this.orbitsEndColumns[i] = columns;
  163.         }

  164.         // Gather all the propagation drivers names in a list
  165.         final List<String> estimatedPropagationParametersNames = new ArrayList<>();
  166.         for (int i = 0; i < builders.length; ++i) {
  167.             // The index i in array estimatedPropagationParameters (attribute of the class) is populated
  168.             // when the first call to getSelectedPropagationDriversForBuilder(i) is made
  169.             for (final DelegatingDriver delegating : getSelectedPropagationDriversForBuilder(i).getDrivers()) {
  170.                 final String driverName = delegating.getName();
  171.                 // Add the driver name if it has not been added yet
  172.                 if (!estimatedPropagationParametersNames.contains(driverName)) {
  173.                     estimatedPropagationParametersNames.add(driverName);
  174.                 }
  175.             }
  176.         }

  177.         // Populate the map of propagation drivers' columns and update the total number of columns
  178.         propagationParameterColumns = new HashMap<>(estimatedPropagationParametersNames.size());
  179.         for (final String driverName : estimatedPropagationParametersNames) {
  180.             propagationParameterColumns.put(driverName, columns);
  181.             ++columns;
  182.         }

  183.         // Populate the map of measurement drivers' columns and update the total number of columns
  184.         for (final ParameterDriver parameter : estimatedMeasurementsParameters.getDrivers()) {
  185.             measurementParameterColumns.put(parameter.getName(), columns);
  186.             ++columns;
  187.         }

  188.         // Initialize point and value
  189.         value    = new ArrayRealVector(rows);
  190.         jacobian = MatrixUtils.createRealMatrix(rows, columns);

  191.         // Decide whether the propagation will be done forward or backward.
  192.         // Minimize the duration between first measurement treated and orbit determination date
  193.         // Propagator builder number 0 holds the reference date for orbit determination
  194.         final AbsoluteDate refDate = builders[0].getInitialOrbitDate();

  195.         // Sort the measurement list chronologically
  196.         measurements.sort(new ChronologicalComparator());
  197.         firstDate = measurements.get(0).getDate();
  198.         lastDate  = measurements.get(measurements.size() - 1).getDate();

  199.         // Decide the direction of propagation
  200.         if (FastMath.abs(refDate.durationFrom(firstDate)) <= FastMath.abs(refDate.durationFrom(lastDate))) {
  201.             // Propagate forward from firstDate
  202.             forwardPropagation = true;
  203.         } else {
  204.             // Propagate backward from lastDate
  205.             forwardPropagation = false;
  206.         }
  207.     }

  208.     /** Set the counter for evaluations.
  209.      * @param evaluationsCounter counter for evaluations
  210.      */
  211.     public void setEvaluationsCounter(final Incrementor evaluationsCounter) {
  212.         this.evaluationsCounter = evaluationsCounter;
  213.     }

  214.     /** Set the counter for iterations.
  215.      * @param iterationsCounter counter for iterations
  216.      */
  217.     public void setIterationsCounter(final Incrementor iterationsCounter) {
  218.         this.iterationsCounter = iterationsCounter;
  219.     }

  220.     /** Return the forward propagation flag.
  221.      * @return the forward propagation flag
  222.      */
  223.     public boolean isForwardPropagation() {
  224.         return forwardPropagation;
  225.     }

  226.     /** Configure the propagator to compute derivatives.
  227.      * @param propagator {@link Propagator} to configure
  228.      * @return harvester harvester to retrive the State Transition Matrix and Jacobian Matrix
  229.      */
  230.     protected MatricesHarvester configureHarvester(final Propagator propagator) {
  231.         // FIXME: this default implementation is only intended for version 11.1 to delegate to a deprecated method
  232.         // it should be removed in 12.0 when configureDerivatives is removed
  233.         return configureDerivatives(propagator);
  234.     }

  235.     /** Configure the propagator to compute derivatives.
  236.      * @param propagators {@link Propagator} to configure
  237.      * @return mapper for this propagator
  238.      * @deprecated as of 11.1, replaced by {@link #configureHarvester(Propagator)}
  239.      */
  240.     @Deprecated
  241.     protected abstract AbstractJacobiansMapper configureDerivatives(Propagator propagators);

  242.     /** Configure the current estimated orbits.
  243.      * <p>
  244.      * For DSST orbit determination, short period derivatives are also calculated.
  245.      * </p>
  246.      * @param harvester harvester for matrices
  247.      * @param propagator the orbit propagator
  248.      * @return the current estimated orbits
  249.      */
  250.     protected abstract Orbit configureOrbits(MatricesHarvester harvester, Propagator propagator);

  251.     /** {@inheritDoc} */
  252.     @Override
  253.     public Pair<RealVector, RealMatrix> value(final RealVector point) {

  254.         // Set up the propagators parallelizer
  255.         final Propagator[] propagators = createPropagators(point);
  256.         final Orbit[] orbits = new Orbit[propagators.length];
  257.         for (int i = 0; i < propagators.length; ++i) {
  258.             harvesters[i] = configureHarvester(propagators[i]);
  259.             orbits[i]     = configureOrbits(harvesters[i], propagators[i]);
  260.         }
  261.         final PropagatorsParallelizer parallelizer =
  262.                         new PropagatorsParallelizer(Arrays.asList(propagators), configureMeasurements(point));

  263.         // Reset value and Jacobian
  264.         evaluations.clear();
  265.         value.set(0.0);
  266.         for (int i = 0; i < jacobian.getRowDimension(); ++i) {
  267.             for (int j = 0; j < jacobian.getColumnDimension(); ++j) {
  268.                 jacobian.setEntry(i, j, 0.0);
  269.             }
  270.         }

  271.         // Run the propagation, gathering residuals on the fly
  272.         if (isForwardPropagation()) {
  273.             // Propagate forward from firstDate
  274.             parallelizer.propagate(firstDate.shiftedBy(-1.0), lastDate.shiftedBy(+1.0));
  275.         } else {
  276.             // Propagate backward from lastDate
  277.             parallelizer.propagate(lastDate.shiftedBy(+1.0), firstDate.shiftedBy(-1.0));
  278.         }

  279.         observer.modelCalled(orbits, evaluations);

  280.         return new Pair<RealVector, RealMatrix>(value, jacobian);

  281.     }

  282.     /** Get the selected orbital drivers for a propagatorBuilder.
  283.      * @param iBuilder index of the builder in the builders' array
  284.      * @return the list of selected orbital drivers for propagatorBuilder of index iBuilder
  285.      * @since 11.1
  286.      */
  287.     public ParameterDriversList getSelectedOrbitalParametersDriversForBuilder(final int iBuilder) {

  288.         // Lazy evaluation, create the list only if it hasn't been created yet
  289.         if (estimatedOrbitalParameters[iBuilder] == null) {

  290.             // Gather the drivers
  291.             final ParameterDriversList selectedOrbitalDrivers = new ParameterDriversList();
  292.             for (final DelegatingDriver delegating : builders[iBuilder].getOrbitalParametersDrivers().getDrivers()) {
  293.                 if (delegating.isSelected()) {
  294.                     for (final ParameterDriver driver : delegating.getRawDrivers()) {
  295.                         selectedOrbitalDrivers.add(driver);
  296.                     }
  297.                 }
  298.             }

  299.             // Add the list of selected orbital parameters drivers to the array
  300.             estimatedOrbitalParameters[iBuilder] = selectedOrbitalDrivers;
  301.         }
  302.         return estimatedOrbitalParameters[iBuilder];
  303.     }

  304.     /** Get the selected propagation drivers for a propagatorBuilder.
  305.      * @param iBuilder index of the builder in the builders' array
  306.      * @return the list of selected propagation drivers for propagatorBuilder of index iBuilder
  307.      */
  308.     public ParameterDriversList getSelectedPropagationDriversForBuilder(final int iBuilder) {

  309.         // Lazy evaluation, create the list only if it hasn't been created yet
  310.         if (estimatedPropagationParameters[iBuilder] == null) {

  311.             // Gather the drivers
  312.             final ParameterDriversList selectedPropagationDrivers = new ParameterDriversList();
  313.             for (final DelegatingDriver delegating : builders[iBuilder].getPropagationParametersDrivers().getDrivers()) {
  314.                 if (delegating.isSelected()) {
  315.                     for (final ParameterDriver driver : delegating.getRawDrivers()) {
  316.                         selectedPropagationDrivers.add(driver);
  317.                     }
  318.                 }
  319.             }

  320.             // List of propagation drivers are sorted in the BatchLSEstimator class.
  321.             // Hence we need to sort this list so the parameters' indexes match
  322.             selectedPropagationDrivers.sort();

  323.             // Add the list of selected propagation drivers to the array
  324.             estimatedPropagationParameters[iBuilder] = selectedPropagationDrivers;
  325.         }
  326.         return estimatedPropagationParameters[iBuilder];
  327.     }

  328.     /** Create the propagators and parameters corresponding to an evaluation point.
  329.      * @param point evaluation point
  330.      * @return an array of new propagators
  331.      */
  332.     public Propagator[] createPropagators(final RealVector point) {

  333.         final Propagator[] propagators = new Propagator[builders.length];

  334.         // Set up the propagators
  335.         for (int i = 0; i < builders.length; ++i) {

  336.             // Get the number of selected orbital drivers in the builder
  337.             final int nbOrb    = orbitsEndColumns[i] - orbitsStartColumns[i];

  338.             // Get the list of selected propagation drivers in the builder and its size
  339.             final ParameterDriversList selectedPropagationDrivers = getSelectedPropagationDriversForBuilder(i);
  340.             final int nbParams = selectedPropagationDrivers.getNbParams();

  341.             // Init the array of normalized parameters for the builder
  342.             final double[] propagatorArray = new double[nbOrb + nbParams];

  343.             // Add the orbital drivers normalized values
  344.             for (int j = 0; j < nbOrb; ++j) {
  345.                 propagatorArray[j] = point.getEntry(orbitsStartColumns[i] + j);
  346.             }

  347.             // Add the propagation drivers normalized values
  348.             for (int j = 0; j < nbParams; ++j) {
  349.                 propagatorArray[nbOrb + j] =
  350.                                 point.getEntry(propagationParameterColumns.get(selectedPropagationDrivers.getDrivers().get(j).getName()));
  351.             }

  352.             // Build the propagator
  353.             propagators[i] = builders[i].buildPropagator(propagatorArray);
  354.         }

  355.         return propagators;

  356.     }

  357.     /** Fetch a measurement that was evaluated during propagation.
  358.      * @param index index of the measurement first component
  359.      * @param evaluation measurement evaluation
  360.      */
  361.     public void fetchEvaluatedMeasurement(final int index, final EstimatedMeasurement<?> evaluation) {

  362.         // States and observed measurement
  363.         final SpacecraftState[]      evaluationStates    = evaluation.getStates();
  364.         final ObservedMeasurement<?> observedMeasurement = evaluation.getObservedMeasurement();

  365.         // compute weighted residuals
  366.         evaluations.put(observedMeasurement, evaluation);
  367.         if (evaluation.getStatus() == EstimatedMeasurement.Status.REJECTED) {
  368.             return;
  369.         }

  370.         final double[] evaluated = evaluation.getEstimatedValue();
  371.         final double[] observed  = observedMeasurement.getObservedValue();
  372.         final double[] sigma     = observedMeasurement.getTheoreticalStandardDeviation();
  373.         final double[] weight    = evaluation.getObservedMeasurement().getBaseWeight();
  374.         for (int i = 0; i < evaluated.length; ++i) {
  375.             value.setEntry(index + i, weight[i] * (evaluated[i] - observed[i]) / sigma[i]);
  376.         }

  377.         for (int k = 0; k < evaluationStates.length; ++k) {

  378.             final int p = observedMeasurement.getSatellites().get(k).getPropagatorIndex();

  379.             // partial derivatives of the current Cartesian coordinates with respect to current orbital state
  380.             final double[][] aCY = new double[6][6];
  381.             final Orbit currentOrbit = evaluationStates[k].getOrbit();
  382.             currentOrbit.getJacobianWrtParameters(builders[p].getPositionAngle(), aCY);
  383.             final RealMatrix dCdY = new Array2DRowRealMatrix(aCY, false);

  384.             // Jacobian of the measurement with respect to current orbital state
  385.             final RealMatrix dMdC = new Array2DRowRealMatrix(evaluation.getStateDerivatives(k), false);
  386.             final RealMatrix dMdY = dMdC.multiply(dCdY);

  387.             // Jacobian of the measurement with respect to initial orbital state
  388.             final ParameterDriversList selectedOrbitalDrivers = getSelectedOrbitalParametersDriversForBuilder(p);
  389.             final int nbOrbParams = selectedOrbitalDrivers.getNbParams();
  390.             if (nbOrbParams > 0) {
  391.                 final RealMatrix dYdY0 = harvesters[p].getStateTransitionMatrix(evaluationStates[k]);
  392.                 final RealMatrix dMdY0 = dMdY.multiply(dYdY0);
  393.                 for (int i = 0; i < dMdY0.getRowDimension(); ++i) {
  394.                     for (int j = orbitsStartColumns[p]; j < orbitsEndColumns[p]; ++j) {
  395.                         final ParameterDriver driver =
  396.                                         selectedOrbitalDrivers.getDrivers().get(j - orbitsStartColumns[p]);
  397.                         final double partial = dMdY0.getEntry(i, orbitsJacobianColumns[j]);
  398.                         jacobian.setEntry(index + i, j,
  399.                                           weight[i] * partial / sigma[i] * driver.getScale());
  400.                     }
  401.                 }
  402.             }

  403.             // Jacobian of the measurement with respect to propagation parameters
  404.             final ParameterDriversList selectedPropagationDrivers = getSelectedPropagationDriversForBuilder(p);
  405.             final int nbParams = selectedPropagationDrivers.getNbParams();
  406.             if (nbParams > 0) {
  407.                 final RealMatrix dYdPp = harvesters[p].getParametersJacobian(evaluationStates[k]);
  408.                 final RealMatrix dMdPp = dMdY.multiply(dYdPp);
  409.                 for (int i = 0; i < dMdPp.getRowDimension(); ++i) {
  410.                     for (int j = 0; j < nbParams; ++j) {
  411.                         final ParameterDriver delegating = selectedPropagationDrivers.getDrivers().get(j);
  412.                         jacobian.addToEntry(index + i, propagationParameterColumns.get(delegating.getName()),
  413.                                             weight[i] * dMdPp.getEntry(i, j) / sigma[i] * delegating.getScale());
  414.                     }
  415.                 }
  416.             }
  417.         }
  418.         // Jacobian of the measurement with respect to measurements parameters
  419.         for (final ParameterDriver driver : observedMeasurement.getParametersDrivers()) {
  420.             if (driver.isSelected()) {
  421.                 final double[] aMPm = evaluation.getParameterDerivatives(driver);
  422.                 for (int i = 0; i < aMPm.length; ++i) {
  423.                     jacobian.setEntry(index + i, measurementParameterColumns.get(driver.getName()),
  424.                                       weight[i] * aMPm[i] / sigma[i] * driver.getScale());
  425.                 }
  426.             }
  427.         }

  428.     }

  429.     /** Configure the multi-satellites handler to handle measurements.
  430.      * @param point evaluation point
  431.      * @return multi-satellites handler to handle measurements
  432.      */
  433.     private MultiSatStepHandler configureMeasurements(final RealVector point) {

  434.         // Set up the measurement parameters
  435.         int index = orbitsEndColumns[builders.length - 1] + propagationParameterColumns.size();
  436.         for (final ParameterDriver parameter : estimatedMeasurementsParameters.getDrivers()) {
  437.             parameter.setNormalizedValue(point.getEntry(index++));
  438.         }

  439.         // Set up measurements handler
  440.         final List<PreCompensation> precompensated = new ArrayList<>();
  441.         for (final ObservedMeasurement<?> measurement : measurements) {
  442.             if (measurement.isEnabled()) {
  443.                 precompensated.add(new PreCompensation(measurement, evaluations.get(measurement)));
  444.             }
  445.         }
  446.         precompensated.sort(new ChronologicalComparator());

  447.         // Assign first and last date
  448.         firstDate = precompensated.get(0).getDate();
  449.         lastDate  = precompensated.get(precompensated.size() - 1).getDate();

  450.         // Reverse the list in case of backward propagation
  451.         if (!forwardPropagation) {
  452.             Collections.reverse(precompensated);
  453.         }

  454.         return new MeasurementHandler(this, precompensated);

  455.     }

  456.     /** Get the iterations count.
  457.      * @return iterations count
  458.      */
  459.     public int getIterationsCount() {
  460.         return iterationsCounter.getCount();
  461.     }

  462.     /** Get the evaluations count.
  463.      * @return evaluations count
  464.      */
  465.     public int getEvaluationsCount() {
  466.         return evaluationsCounter.getCount();
  467.     }

  468. }