ParameterDriver.java
/* Copyright 2002-2024 CS GROUP
* Licensed to CS GROUP (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
* (the "License"); you may not use this file except in compliance with
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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.utils;
import java.util.ArrayList;
import java.util.Collections;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
import org.hipparchus.analysis.differentiation.Gradient;
import org.hipparchus.util.FastMath;
import org.hipparchus.util.Precision;
import org.orekit.errors.OrekitException;
import org.orekit.errors.OrekitIllegalStateException;
import org.orekit.errors.OrekitMessages;
import org.orekit.propagation.events.ParameterDrivenDateIntervalDetector;
import org.orekit.time.AbsoluteDate;
import org.orekit.utils.TimeSpanMap.Span;
import org.orekit.utils.TimeSpanMap.Transition;
/** Class allowing to drive the value of a parameter.
* <p>
* This class is typically used as a bridge between an estimation
* algorithm (typically orbit determination or optimizer) and an
* internal parameter in a physical model that needs to be tuned,
* or a bridge between a finite differences algorithm and an
* internal parameter in a physical model that needs to be slightly
* offset. The physical model will expose to the algorithm a
* set of instances of this class so the algorithm can call the
* {@link #setValue(double, AbsoluteDate)} method to update the
* parameter value at a given date. Some parameters driver only have 1 value estimated/driven
* over the all period (constructor by default). Some others have several
* values estimated/driven on several periods/intervals. For example if the time period is 3 days
* for a drag parameter estimated all days then 3 values would be estimated, one for
* each time period. In order to allow several values to be estimated, the PDriver has
* a name and a value {@link TimeSpanMap} as attribute. In order,
* to cut the time span map there are 2 options :
* </p>
* <ul>
* <li>Passive cut calling the {@link #addSpans(AbsoluteDate, AbsoluteDate, double)} method.
* Given a start date, an end date and and a validity period (in sec)
* for the driver, the {@link #addSpans} method will cut the interval of name and value time span map
* from start date to date end in several interval of validity period duration. This method should not
* be called on orbital drivers and must be called only once at beginning of the process (for example
* beginning of orbit determination). <b>WARNING : In order to ensure converge for orbit determination,
* the start, end date and driver periodicity must be wisely choosen </b>. There must be enough measurements
* on each interval or convergence won't reach or singular matrixes will appear. </li>
* <li> Active cut calling the {@link #addSpanAtDate(AbsoluteDate)} method.
* Given a date, the method will cut the value and name time span name, in order to have a new span starting at
* the given date. Can be called several time to cut the time map as wished. <b>WARNING : In order to ensure
* converge for orbit determination, if the method is called several time, the start date must be wisely choosen </b>.
* There must be enough measurements on each interval or convergence won't reach or singular matrixes will appear. </li>
* </ul>
* <p>
* Several ways exist in order to get a ParameterDriver value at a certain
* date for parameters having several values on several intervals.
* </p>
* <ul>
* <li>First of all, the step estimation, that is to say, if a value wants
* to be known at a certain date, the value returned is the one of span
* beginning corresponding to the date. With this definition a value
* will be kept all along the span duration and will be the value of the span
* start.</li>
* <li> The continuous estimation, that is to say, when a value wants be to
* known at a date t, the value returned would be a linear interpolation between
* the value at the beginning of the span corresponding to date t and end this span
* (which is also the beginning of next span). NOT IMPLEMENTED FOR NOW
* </li>
* </ul>
* Each time the value is set, the physical model
* will be notified as it will register a {@link ParameterObserver
* ParameterObserver} for this purpose.
* <p>
* This design has two major goals. First, it allows an external
* algorithm to drive internal parameters almost anonymously, as it only
* needs to get a list of instances of this class, without knowing
* what they really drive. Second, it allows the physical model to
* not expose directly setters methods for its parameters. In order
* to be able to modify the parameter value, the algorithm
* <em>must</em> retrieve a parameter driver.
* </p>
* @see ParameterObserver
* @author Luc Maisonobe
* @author Melina Vanel
* @since 8.0
*/
public class ParameterDriver {
/** Name of the parameter.*/
public static final String SPAN = "Span";
/** Name of the parameter. */
private String name;
/** TimeSpan for period names.
* @since 12.0
*/
private TimeSpanMap<String> nameSpanMap;
/** Reference value. */
private double referenceValue;
/** Scaling factor. */
private double scale;
/** Minimum value. */
private double minValue;
/** Maximum value. */
private double maxValue;
/** Reference date.
* @since 9.0
*/
private AbsoluteDate referenceDate;
/** Flag to choose estimation method. If estimationContinuous
* is true then when a value wants to be known an interpolation
* is performed between given date span start and end (start of
* next span) otherwise the value returned is the value of span start
* @since 12.0
*/
private boolean isEstimationContinuous;
/** Value time span map.
* @since 12.0
*/
private TimeSpanMap<Double> valueSpanMap;
/** Selection status.
* <p>
* Selection is used for estimated parameters in orbit determination,
* or to compute the Jacobian matrix in partial derivatives computation.
* </p>
*/
private boolean selected;
/** Observers observing this driver. */
private final List<ParameterObserver> observers;
/** Create a new instance from another parameterDriver informations
* for example (useful for {@link ParameterDriversList.DelegatingDriver}))
* At construction, the parameter new is configured as <em>not</em> selected,
* the reference date is set to {@code null}. validityPeriod, namesSpanMap and
* valueSpanMap.
* @param name general name of the parameter
* @param namesSpanMap name time span map. WARNING, number of Span must be coherent with
* validityPeriod and valueSpanMap (same number of Span with same transitions
* dates)
* @param valuesSpanMap values time span map
* @param referenceValue reference value of the parameter
* @param scale scaling factor to convert the parameters value to
* non-dimensional (typically set to the expected standard deviation of the
* parameter), it must be non-zero
* @param minValue minimum value allowed
* @param maxValue maximum value allowed
* @since 12.0
*/
public ParameterDriver(final String name, final TimeSpanMap<String> namesSpanMap,
final TimeSpanMap<Double> valuesSpanMap, final double referenceValue,
final double scale, final double minValue, final double maxValue) {
if (FastMath.abs(scale) <= Precision.SAFE_MIN) {
throw new OrekitException(OrekitMessages.TOO_SMALL_SCALE_FOR_PARAMETER,
name, scale);
}
this.name = name;
this.nameSpanMap = namesSpanMap;
this.referenceValue = referenceValue;
this.scale = scale;
this.minValue = minValue;
this.maxValue = maxValue;
this.referenceDate = null;
this.valueSpanMap = valuesSpanMap;
this.selected = false;
this.observers = new ArrayList<>();
this.isEstimationContinuous = false;
}
/** Simple constructor.
* <p>
* At construction, the parameter is configured as <em>not</em> selected,
* the reference date is set to {@code null}, the value is set to the
* {@code referenceValue}, the validity period is set to 0 so by default
* the parameterDriver will be estimated on only 1 interval from -INF to
* +INF. To change the validity period the
* {@link ParameterDriver#addSpans(AbsoluteDate, AbsoluteDate, double)}
* method must be called.
* </p>
* @param name name of the parameter
* @param referenceValue reference value of the parameter
* @param scale scaling factor to convert the parameters value to
* non-dimensional (typically set to the expected standard deviation of the
* parameter), it must be non-zero
* @param minValue minimum value allowed
* @param maxValue maximum value allowed
*/
public ParameterDriver(final String name,
final double referenceValue, final double scale,
final double minValue, final double maxValue) {
if (FastMath.abs(scale) <= Precision.SAFE_MIN) {
throw new OrekitException(OrekitMessages.TOO_SMALL_SCALE_FOR_PARAMETER,
name, scale);
}
this.name = name;
this.nameSpanMap = new TimeSpanMap<>(SPAN + name + Integer.toString(0));
this.referenceValue = referenceValue;
this.scale = scale;
this.minValue = minValue;
this.maxValue = maxValue;
this.referenceDate = null;
// at construction the parameter driver
// will be consider with only 1 estimated value over the all orbit
// determination
this.valueSpanMap = new TimeSpanMap<>(referenceValue);
this.selected = false;
this.observers = new ArrayList<>();
this.isEstimationContinuous = false;
}
/** Get current name span map of the parameterDriver, cut in interval
* in accordance with value span map and validity period.
* @return current name span map
* @since 12.0
*/
public TimeSpanMap<String> getNamesSpanMap() {
return nameSpanMap;
}
/** Get value time span map for parameterDriver.
* @return value time span map
* @since 12.0
*/
public TimeSpanMap<Double> getValueSpanMap() {
return valueSpanMap;
}
/** Set current parameter value span map to match another driver. In order to keep
* consistency, the validity period and name span map are updated.
* @param driver for which the value span map wants to be copied for the
* current driver
* @since 12.0
*/
public void setValueSpanMap(final ParameterDriver driver) {
final TimeSpanMap<Double> previousValueSpanMap = driver.getValueSpanMap();
valueSpanMap = driver.getValueSpanMap();
nameSpanMap = driver.getNamesSpanMap();
for (final ParameterObserver observer : observers) {
observer.valueSpanMapChanged(previousValueSpanMap, this);
}
}
/** Get the number of values to estimate that is to say the number.
* of Span present in valueSpanMap
* @return int the number of values to estimate
* @since 12.0
*/
public int getNbOfValues() {
return valueSpanMap.getSpansNumber();
}
/** Get the dates of the transitions {@link TimeSpanMap}.
* @return dates of the transitions {@link TimeSpanMap}
* @since 12.0
*/
public AbsoluteDate[] getTransitionDates() {
// Get all transitions
final List<AbsoluteDate> listDates = new ArrayList<>();
// Extract all the transitions' dates
for (Transition<Double> transition = getValueSpanMap().getFirstSpan().getEndTransition(); transition != null; transition = transition.next()) {
listDates.add(transition.getDate());
}
// Return the array of transition dates
return listDates.toArray(new AbsoluteDate[0]);
}
/** Get all values of the valueSpanMap in the chronological order.
* @return double[] containing values of the valueSpanMap in the chronological order
*/
public double[] getValues() {
final double[] chronologicalValues = new double[getNbOfValues()];
Span<Double> currentSpan = valueSpanMap.getFirstSpan();
for (int i = 0; i < getNbOfValues() - 1; i++) {
chronologicalValues[i] = currentSpan.getData();
currentSpan = currentSpan.next();
}
chronologicalValues[getNbOfValues() - 1 ] = currentSpan.getData();
return chronologicalValues;
}
/** Add an observer for this driver.
* <p>
* The observer {@link ParameterObserver#valueSpanMapChanged(TimeSpanMap, ParameterDriver)
* valueSpanMapChanged} method is called once automatically when the
* observer is added, and then called at each value change.
* </p>
* @param observer observer to add
* while being updated
*/
public void addObserver(final ParameterObserver observer) {
observers.add(observer);
observer.valueSpanMapChanged(getValueSpanMap(), this);
}
/** Remove an observer.
* @param observer observer to remove
* @since 9.1
*/
public void removeObserver(final ParameterObserver observer) {
for (final Iterator<ParameterObserver> iterator = observers.iterator(); iterator.hasNext();) {
if (iterator.next() == observer) {
iterator.remove();
return;
}
}
}
/** Replace an observer.
* @param oldObserver observer to replace
* @param newObserver new observer to use
* @since 10.1
*/
public void replaceObserver(final ParameterObserver oldObserver, final ParameterObserver newObserver) {
for (int i = 0; i < observers.size(); ++i) {
if (observers.get(i) == oldObserver) {
observers.set(i, newObserver);
}
}
}
/** Get the observers for this driver.
* @return an unmodifiable view of the observers for this driver
* @since 9.1
*/
public List<ParameterObserver> getObservers() {
return Collections.unmodifiableList(observers);
}
/** Get parameter driver general name.
* @return name
*/
public String getName() {
return name;
}
/** Get name of the parameter span for a specific date.
* @param date date at which the name of the span wants to be known
* @return name data of the name time span map at date
*/
public String getNameSpan(final AbsoluteDate date) {
return nameSpanMap.get(date);
}
/** Change the general name of this parameter driver.
* @param name new name
*/
public void setName(final String name) {
final String previousName = this.name;
this.name = name;
for (final ParameterObserver observer : observers) {
observer.nameChanged(previousName, this);
}
// the names time span map must also be updated with the new name
if (nameSpanMap.getSpansNumber() > 1) {
Span<String> currentNameSpan = nameSpanMap.getFirstSpan();
nameSpanMap.addValidBefore(SPAN + name + Integer.toString(0), currentNameSpan.getEnd(), false);
for (int spanNumber = 1; spanNumber < nameSpanMap.getSpansNumber(); ++spanNumber) {
currentNameSpan = nameSpanMap.getSpan(currentNameSpan.getEnd());
nameSpanMap.addValidAfter(SPAN + name + Integer.toString(spanNumber), currentNameSpan.getStart(), false);
}
} else {
nameSpanMap = new TimeSpanMap<>(SPAN + name + Integer.toString(0));
}
}
/** Cut values and names time span map given orbit determination start and end and driver
* periodicity.
* <p>
* For example for a drag coefficient the validity period would be
* 1 days = 86400sec. To be called after constructor to cut the temporal axis with
* the wanted parameter driver temporality for estimations on the wanted interval.
* </p>
* <p>
* Must be called only once at the beginning of orbit
* determination for example. If called several times, will throw exception. If parameter
* estimations intervals must be changed then a new ParameterDriver must be created or the
* function {@link #addSpanAtDate} should be used.
* </p>
* <p>
* This function should not be called on {@link DateDriver} and
* any of {@link ParameterDrivenDateIntervalDetector} attribute, because there is no sense to
* estimate several values for dateDriver.
* </p>
* <p>
* The choice of {@code orbitDeterminationStartDate}, {@code orbitDeterminationEndDate} and
* {@code validityPeriodForDriver} in a case of orbit determination must be done carefully,
* indeed, enough measurement should be available for each time interval or
* the orbit determination won't converge.
* </p>
* @param orbitDeterminationStartDate start date for which the parameter driver
* starts to be estimated.
* @param orbitDeterminationEndDate end date for which the parameter driver
* stops to be estimated.
* @param validityPeriodForDriver validity period for which the parameter value
* is effective (for example 1 day for drag coefficient). Warning, validityPeriod
* should not be too short or the orbit determination won't converge.
* @since 12.0
*/
public void addSpans(final AbsoluteDate orbitDeterminationStartDate,
final AbsoluteDate orbitDeterminationEndDate,
final double validityPeriodForDriver) {
// by convention 0 is when the parameter needs to be drived only on 1
// interval from -INF to +INF time period
if (getNbOfValues() != 1) {
// throw exception if called several time, must be called only once at the beginning of orbit
// determination, if the periods wants to be changed a new parameter must be created
throw new OrekitIllegalStateException(OrekitMessages.PARAMETER_PERIODS_HAS_ALREADY_BEEN_SET, name);
} else {
int spanNumber = 1;
AbsoluteDate currentDate = orbitDeterminationStartDate.shiftedBy(validityPeriodForDriver);
//splitting the names and values span map accordingly with start and end of orbit determination
//and validity period. A security is added to avoid having to few measurements point for a span
//in order to assure orbit determination convergence
while (currentDate.isBefore(orbitDeterminationEndDate) && orbitDeterminationEndDate.durationFrom(currentDate) > validityPeriodForDriver / 3.0) {
valueSpanMap.addValidAfter(getValue(currentDate), currentDate, false);
nameSpanMap.addValidAfter(SPAN + getName() + Integer.toString(spanNumber++), currentDate, false);
currentDate = currentDate.shiftedBy(validityPeriodForDriver);
}
}
}
/** Create a new span in values and names time span map given a start date.
* <b> One must be aware of the importance of choosing wise dates if this function is called
* several times to create several span at wanted times. Indeed, if orbit determination is performed
* it might not converge or find singular matrix if the spans are too short and contains to few measurements.
* Must be called before any computation (for example before
* orbit determination).</b>
* @param spanStartDate wanted start date for parameter value interval
* starts to be estimated.
* @since 12.0
*/
public void addSpanAtDate(final AbsoluteDate spanStartDate) {
// Split value span map with new interval having for start date spanStartDate and end
// date next span start date of +INF if no span is present after
valueSpanMap.addValidAfter(getValue(spanStartDate), spanStartDate, false);
nameSpanMap.addValidAfter(name, spanStartDate, false);
// Rename spans recursively
Span<String> currentNameSpan = nameSpanMap.getFirstSpan();
nameSpanMap.addValidBefore(SPAN + name + Integer.toString(0), currentNameSpan.getEnd(), false);
for (int spanNumber = 1; spanNumber < nameSpanMap.getSpansNumber(); spanNumber++) {
currentNameSpan = nameSpanMap.getSpan(currentNameSpan.getEnd());
nameSpanMap.addValidAfter(SPAN + name + Integer.toString(spanNumber), currentNameSpan.getStart(), false);
}
}
/** Get reference parameter value.
* @return reference parameter value
*/
public double getReferenceValue() {
return referenceValue;
}
/** Set reference parameter value.
* @since 9.3
* @param referenceValue the reference value to set.
*/
public void setReferenceValue(final double referenceValue) {
final double previousReferenceValue = this.referenceValue;
this.referenceValue = referenceValue;
for (final ParameterObserver observer : observers) {
observer.referenceValueChanged(previousReferenceValue, this);
}
}
/** Get minimum parameter value.
* @return minimum parameter value
*/
public double getMinValue() {
return minValue;
}
/** Set minimum parameter value.
* @since 9.3
* @param minValue the minimum value to set.
*/
public void setMinValue(final double minValue) {
final double previousMinValue = this.minValue;
this.minValue = minValue;
for (final ParameterObserver observer : observers) {
observer.minValueChanged(previousMinValue, this);
}
// Check if all values are still not out of min/max range
for (Span<Double> span = valueSpanMap.getFirstSpan(); span != null; span = span.next()) {
setValue(getValue(span.getStart()), span.getStart());
}
}
/** Get maximum parameter value.
* @return maximum parameter value
*/
public double getMaxValue() {
return maxValue;
}
/** Set maximum parameter value.
* @since 9.3
* @param maxValue the maximum value to set.
*/
public void setMaxValue(final double maxValue) {
final double previousMaxValue = this.maxValue;
this.maxValue = maxValue;
for (final ParameterObserver observer : observers) {
observer.maxValueChanged(previousMaxValue, this);
}
// Check if all values are still not out of min/max range
for (Span<Double> span = valueSpanMap.getFirstSpan(); span != null; span = span.next()) {
setValue(getValue(span.getStart()), span.getStart());
}
}
/** Get scale.
* @return scale
*/
public double getScale() {
return scale;
}
/** Set scale.
* @since 9.3
* @param scale the scale to set.
*/
public void setScale(final double scale) {
final double previousScale = this.scale;
this.scale = scale;
for (final ParameterObserver observer : observers) {
observer.scaleChanged(previousScale, this);
}
}
/** Get normalized value at specific date.
* <p>
* The normalized value is a non-dimensional value
* suitable for use as part of a vector in an optimization
* process. It is computed as {@code (current - reference)/scale}.
* </p>
* @param date date for which the normalized value wants to be known
* @return normalized value
*/
public double getNormalizedValue(final AbsoluteDate date) {
return (getValue(date) - getReferenceValue()) / scale;
}
/** Get normalized value. Only useable on ParameterDriver
* which have only 1 span on their TimeSpanMap value (that is
* to say for which the setPeriod method wasn't called) otherwise
* it will throw an exception.
* <p>
* The normalized value is a non-dimensional value
* suitable for use as part of a vector in an optimization
* process. It is computed as {@code (current - reference)/scale}.
* </p>
* @return normalized value
*/
public double getNormalizedValue() {
return (getValue() - getReferenceValue()) / scale;
}
/** Set normalized value at specific date.
* <p>
* The normalized value is a non-dimensional value
* suitable for use as part of a vector in an optimization
* process. It is computed as {@code (current - reference)/scale}.
* </p>
* @param date date for which the normalized value wants to be set
* @param normalized value
*/
public void setNormalizedValue(final double normalized, final AbsoluteDate date) {
setValue(getReferenceValue() + scale * normalized, date);
}
/** Set normalized value at specific date. Only useable on ParameterDriver
* which have only 1 span on their TimeSpanMap value (that is
* to say for which the setPeriod method wasn't called) otherwise
* it will throw an exception.
* <p>
* The normalized value is a non-dimensional value
* suitable for use as part of a vector in an optimization
* process. It is computed as {@code (current - reference)/scale}.
* </p>
* @param normalized value
*/
public void setNormalizedValue(final double normalized) {
setValue(getReferenceValue() + scale * normalized);
}
/** Get current reference date.
* @return current reference date (null if it was never set)
* @since 9.0
*/
public AbsoluteDate getReferenceDate() {
return referenceDate;
}
/** Set reference date.
* @param newReferenceDate new reference date
* @since 9.0
*/
public void setReferenceDate(final AbsoluteDate newReferenceDate) {
final AbsoluteDate previousReferenceDate = getReferenceDate();
referenceDate = newReferenceDate;
for (final ParameterObserver observer : observers) {
observer.referenceDateChanged(previousReferenceDate, this);
}
}
/** Get current parameter value. Only usable on ParameterDriver
* which have only 1 span on their TimeSpanMap value (that is
* to say for which the setPeriod method wasn't called)
* @return current parameter value
*/
public double getValue() {
if (getNbOfValues() > 1) {
throw new OrekitIllegalStateException(OrekitMessages.PARAMETER_WITH_SEVERAL_ESTIMATED_VALUES, name, "getValue(date)");
}
// Attention voir si qlqchose est retourné si une exception est levée
return valueSpanMap.getFirstSpan().getData();
}
/** Get current parameter value at specific date, depending on isContinuousEstimation
* value, the value returned will be obtained by step estimation or continuous estimation.
* @param date date for which the value wants to be known. Only if
* parameter driver has 1 value estimated over the all orbit determination
* period (not validity period intervals for estimation), the date value can
* be <em>{@code null}</em> and then the only estimated value will be
* returned, in this case the date can also be whatever the value returned would
* be the same. Moreover in this particular case one can also call the {@link #getValue()}.
* @return current parameter value at date date, or for the all period if
* no validity period (= 1 value estimated over the all orbit determination
* period)
*/
public double getValue(final AbsoluteDate date) {
return isEstimationContinuous ? getValueContinuousEstimation(date) : getValueStepEstimation(date);
}
/** Get current parameter value at specific date with step estimation.
* @param date date for which the value wants to be known. Only if
* parameter driver has 1 value estimated over the all orbit determination
* period (not validity period intervals for estimation), the date value can
* be <em>{@code null}</em> and then the only estimated value will be
* returned, in this case the date can also be whatever the value returned would
* be the same. Moreover in this particular case one can also call the {@link #getValue()}.
* @return current parameter value at date date, or for the all period if
* no validity period (= 1 value estimated over the all orbit determination
* period)
*/
public double getValueStepEstimation(final AbsoluteDate date) {
return getNbOfValues() == 1 ? valueSpanMap.getFirstSpan().getData() : valueSpanMap.get(date);
}
/** Get current parameter value at specific date with continuous estimation.
* @param date date for which the value wants to be known. Only if
* parameter driver has 1 value estimated over the all orbit determination
* period (not validity period intervals for estimation), the date value can
* be <em>{@code null}</em> and then the only estimated value will be
* returned, in this case the date can also be whatever the value returned would
* be the same. Moreover in this particular case one can also call the {@link #getValue()}.
* @return current parameter value at date date, or for the all period if
* no validity period (= 1 value estimated over the all orbit determination
* period)
* @since 12.0
*/
public double getValueContinuousEstimation(final AbsoluteDate date) {
//TODO
throw new UnsupportedOperationException();
}
/** Get the value as a gradient at special date.
* @param freeParameters total number of free parameters in the gradient
* @param indices indices of the differentiation parameters in derivatives computations
* @return value with derivatives, will throw exception if called on a PDriver having
* several values driven
* @since 10.2
*/
public Gradient getValue(final int freeParameters, final Map<String, Integer> indices) {
Integer index = null;
for (Span<String> span = nameSpanMap.getFirstSpan(); span != null; span = span.next()) {
index = indices.get(span.getData());
if (index != null) {
break;
}
}
return (index == null) ? Gradient.constant(freeParameters, getValue()) : Gradient.variable(freeParameters, index, getValue());
}
/** Get the value as a gradient at special date.
* @param freeParameters total number of free parameters in the gradient
* @param indices indices of the differentiation parameters in derivatives computations,
* must be span name and not driver name
* @param date date for which the value wants to be known. Only if
* parameter driver has 1 value estimated over the all orbit determination
* period (not validity period intervals for estimation), the date value can
* be <em>{@code null}</em> and then the only estimated value will be
* returned
* @return value with derivatives
* @since 10.2
*/
public Gradient getValue(final int freeParameters, final Map<String, Integer> indices, final AbsoluteDate date) {
Integer index = null;
for (Span<String> span = nameSpanMap.getFirstSpan(); span != null; span = span.next()) {
index = indices.get(span.getData());
if (index != null) {
break;
}
}
return (index == null) ? Gradient.constant(freeParameters, getValue(date)) : Gradient.variable(freeParameters, index, getValue(date));
}
/** Set parameter value at specific date.
* <p>
* If {@code newValue} is below {@link #getMinValue()}, it will
* be silently set to {@link #getMinValue()}. If {@code newValue} is
* above {@link #getMaxValue()}, it will be silently set to {@link
* #getMaxValue()}.
* </p>
* @param date date for which the value wants to be set. Only if
* parameter driver has 1 value estimated over the all orbit determination
* period (not validity period intervals for estimation), the date value can
* be <em>{@code null}</em>
* @param newValue new value to set
*/
public void setValue(final double newValue, final AbsoluteDate date) {
double previousValue = Double.NaN;
AbsoluteDate referenceDateSpan = AbsoluteDate.ARBITRARY_EPOCH;
// if valid for infinity (only 1 value estimation for the orbit determination )
if (getNbOfValues() == 1) {
previousValue = this.getValue(referenceDateSpan);
this.valueSpanMap = new TimeSpanMap<>(FastMath.max(minValue, FastMath.min(maxValue, newValue)));
// if needs to be estimated per time range / validity period
// if several value intervals
} else {
final Span<Double> valueSpan = valueSpanMap.getSpan(date);
previousValue = valueSpan.getData();
referenceDateSpan = valueSpan.getStart();
// if the Span considered is from past infinity to valueSpanEndDate it is
// impossible to addValidAfter past infinity because it is creating a new span that
// is why the below trick was set up
if (referenceDateSpan.equals(AbsoluteDate.PAST_INFINITY)) {
referenceDateSpan = valueSpan.getEnd();
this.valueSpanMap.addValidBefore(FastMath.max(minValue, FastMath.min(maxValue, newValue)),
referenceDateSpan, false);
} else {
this.valueSpanMap.addValidAfter(FastMath.max(minValue, FastMath.min(maxValue, newValue)),
referenceDateSpan, false);
}
}
for (final ParameterObserver observer : observers) {
observer.valueChanged(previousValue, this, date);
}
}
/** Set parameter value. Only usable on ParameterDriver
* which have only 1 span on their TimeSpanMap value (that is
* to say for which the setPeriod method wasn't called)
* <p>
* If {@code newValue} is below {@link #getMinValue()}, it will
* be silently set to {@link #getMinValue()}. If {@code newValue} is
* above {@link #getMaxValue()}, it will be silently set to {@link
* #getMaxValue()}.
* </p>
* @param newValue new value to set
*/
public void setValue(final double newValue) {
if (getNbOfValues() == 1) {
final AbsoluteDate referenceDateSpan = AbsoluteDate.ARBITRARY_EPOCH;
final double previousValue = this.getValue(referenceDateSpan);
this.valueSpanMap = new TimeSpanMap<>(FastMath.max(minValue, FastMath.min(maxValue, newValue)));
for (final ParameterObserver observer : observers) {
observer.valueChanged(previousValue, this, referenceDateSpan);
}
} else {
throw new OrekitIllegalStateException(OrekitMessages.PARAMETER_WITH_SEVERAL_ESTIMATED_VALUES, name, "setValue(date)");
}
}
/** Configure a parameter selection status.
* <p>
* Selection is used for estimated parameters in orbit determination,
* or to compute the Jacobian matrix in partial derivatives computation.
* </p>
* @param selected if true the parameter is selected,
* otherwise it will be fixed
*/
public void setSelected(final boolean selected) {
final boolean previousSelection = isSelected();
this.selected = selected;
for (final ParameterObserver observer : observers) {
observer.selectionChanged(previousSelection, this);
}
}
/** Check if parameter is selected.
* <p>
* Selection is used for estimated parameters in orbit determination,
* or to compute the Jacobian matrix in partial derivatives computation.
* </p>
* @return true if parameter is selected, false if it is not
*/
public boolean isSelected() {
return selected;
}
/** Set parameter estimation to continuous, by default step estimation.
* <p> Continuous estimation : when a value wants to be known at date
* t, the value returned will be an interpolation between start value
* of the span corresponding to date t and end value (which corresponds
* to the start of the next span).
* </p>
* <p> Step estimation : when a value wants to be
* known at date t, the value returned will be the value of the beginning
* of span corresponding to date t, step estimation.
* </p>
* @param continuous if true the parameter will be estimated
* with continuous estimation, if false with step estimation.
*/
public void setContinuousEstimation(final boolean continuous) {
final boolean previousEstimation = isContinuousEstimation();
this.isEstimationContinuous = continuous;
for (final ParameterObserver observer : observers) {
observer.estimationTypeChanged(previousEstimation, this);
}
}
/** Check if parameter estimation is continuous, that is to say when
* a value wants to be known at date t, the value returned
* will be an interpolation between start value on span corresponding
* for date t and end value (which corresponds to the start of the next
* span), continuous estimation. Or not continuous, that is to say when a value wants to be
* known at date t, the value returned will be the value of the start
* of span corresponding to date t, step estimation.
* @return true if continuous estimation/definition, false if step estimation/definition
* @since 12.0
*/
public boolean isContinuousEstimation() {
return isEstimationContinuous;
}
/** Get a text representation of the parameter.
* @return text representation of the parameter, in the form name = value.
*/
public String toString() {
return name + " = " + valueSpanMap.get(AbsoluteDate.ARBITRARY_EPOCH);
}
}