Package org.orekit.propagation.conversion.osc2mean

Class LeastSquaresConverter

java.lang.Object

org.orekit.propagation.conversion.osc2mean.LeastSquaresConverter

All Implemented Interfaces:

OsculatingToMeanConverter

public class LeastSquaresConverter
extends Object
implements OsculatingToMeanConverter

Class enabling conversion from osculating to mean orbit for a given theory using a least-squares algorithm.

Since:

13.0

Author:

Pascal Parraud

Field Summary

Fields

Modifier and Type	Field	Description
static final int	DEFAULT_MAX_ITERATIONS	Default maximum number of iterations.
static final double	DEFAULT_THRESHOLD	Default convergence threshold.

Constructor Summary

Constructors

Constructor	Description
LeastSquaresConverter()	Default constructor.
LeastSquaresConverter(double threshold, int maxIterations)	Constructor.
LeastSquaresConverter(MeanTheory theory)	Constructor.
LeastSquaresConverter(MeanTheory theory, LeastSquaresOptimizer optimizer)	Constructor.
LeastSquaresConverter(MeanTheory theory, LeastSquaresOptimizer optimizer, double threshold, int maxIterations)	Constructor.

Method Summary

Modifier and Type	Method	Description
<T extends CalculusFieldElement<T>> FieldOrbit<T>	convertToMean(FieldOrbit<T> osculating)	Converts an osculating orbit into a mean orbit.
Orbit	convertToMean(Orbit osculating)	Converts an osculating orbit into a mean orbit.
int	getIterationsNb()	Gets the number of iterations performed by the last conversion.
int	getMaxIterations()	Gets the maximum number of iterations.
MeanTheory	getMeanTheory()	Gets the theory defining the mean orbit.
LeastSquaresOptimizer	getOptimizer()	Gets the optimizer.
double	getRMS()	Gets the RMS for the last conversion.
double	getThreshold()	Gets the convergence threshold.
void	setMaxIterations(int maxIterations)	Sets maximum number of iterations.
void	setMeanTheory(MeanTheory meanTheory)	Sets the theory defining the mean orbit.
void	setOptimizer(LeastSquaresOptimizer optimizer)	Sets the optimizer.
void	setThreshold(double threshold)	Sets the convergence threshold.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Details

DEFAULT_THRESHOLD

public static final double DEFAULT_THRESHOLD

Default convergence threshold.

See Also:

• Constant Field Values

DEFAULT_MAX_ITERATIONS

public static final int DEFAULT_MAX_ITERATIONS

Default maximum number of iterations.

See Also:

• Constant Field Values

Constructor Details

LeastSquaresConverter

public LeastSquaresConverter()

Default constructor.

The mean theory and the optimizer must be set before converting.

LeastSquaresConverter

public LeastSquaresConverter(MeanTheory theory)

Constructor.

The optimizer must be set before converting.

Parameters:

theory - mean theory to be used

LeastSquaresConverter

public LeastSquaresConverter(MeanTheory theory,
 LeastSquaresOptimizer optimizer)

Constructor.

Parameters:

theory - mean theory to be used

optimizer - optimizer to be used

LeastSquaresConverter

public LeastSquaresConverter(double threshold,
 int maxIterations)

Constructor.

The mean theory and the optimizer must be set before converting.

Parameters:

threshold - convergence threshold

maxIterations - maximum number of iterations

LeastSquaresConverter

public LeastSquaresConverter(MeanTheory theory,
 LeastSquaresOptimizer optimizer,
 double threshold,
 int maxIterations)

Constructor.

Parameters:

theory - mean theory to be used

optimizer - optimizer to be used

threshold - convergence threshold

maxIterations - maximum number of iterations

Method Details

getMeanTheory

public MeanTheory getMeanTheory()

Gets the theory defining the mean orbit.

Specified by:

getMeanTheory in interface OsculatingToMeanConverter

Returns:

the mean theory

setMeanTheory

public void setMeanTheory(MeanTheory meanTheory)

Sets the theory defining the mean orbit.

Specified by:

setMeanTheory in interface OsculatingToMeanConverter

Parameters:

meanTheory - the mean theory

getOptimizer

public LeastSquaresOptimizer getOptimizer()

Gets the optimizer.

Returns:

the optimizer

setOptimizer

public void setOptimizer(LeastSquaresOptimizer optimizer)

Sets the optimizer.

Parameters:

optimizer - the optimizer

getThreshold

public double getThreshold()

Gets the convergence threshold.

Returns:

convergence threshold

setThreshold

public void setThreshold(double threshold)

Sets the convergence threshold.

Parameters:

threshold - convergence threshold

getMaxIterations

public int getMaxIterations()

Gets the maximum number of iterations.

Returns:

maximum number of iterations

setMaxIterations

public void setMaxIterations(int maxIterations)

Sets maximum number of iterations.

Parameters:

maxIterations - maximum number of iterations

getRMS

public double getRMS()

Gets the RMS for the last conversion.

Returns:

the RMS

getIterationsNb

public int getIterationsNb()

Gets the number of iterations performed by the last conversion.

Returns:

number of iterations

convertToMean

public Orbit convertToMean(Orbit osculating)

Converts an osculating orbit into a mean orbit. Uses a least-square algorithm.

Specified by:

convertToMean in interface OsculatingToMeanConverter

Parameters:

osculating - osculating orbit

Returns:

mean orbit

convertToMean

public <T extends CalculusFieldElement<T>>
FieldOrbit<T> convertToMean(FieldOrbit<T> osculating)

Converts an osculating orbit into a mean orbit. Uses a least-square algorithm.

Specified by:

convertToMean in interface OsculatingToMeanConverter

Type Parameters:

T - type of the filed elements

Parameters:

osculating - osculating orbit

Returns:

mean orbit