org.orekit.tutorials.yaml

Class TutorialBatchLSEstimator

java.lang.Object

org.orekit.tutorials.yaml.TutorialBatchLSEstimator

public class TutorialBatchLSEstimator
extends Object

Initial data for the batch least squares orbit determination estimator.

Data are read from a YAML file.

Author:

Bryan Cazabonne

Constructor Summary

Constructors

Constructor and Description
TutorialBatchLSEstimator()

Method Summary

Modifier and Type	Method and Description
double	getConvergenceThreshold() Get the convergence threshold.
int	getMaxEvaluations() Get the maximum number of evaluations before an exception is thrown.
int	getMaxIterations() Get the maximum number of iterations before an exception is thrown.
TutorialOptimizationEngine	getOptimizationEngine() Get the optimization engine.
double	getOrbitalParametersPositionScale() Get the scaling factor for orbital parameters normalization.
void	setConvergenceThreshold(double convergenceThreshold) Set the convergence threshold.
void	setMaxEvaluations(int maxEvaluations) Set the maximum number of evaluations before an exception is thrown.
void	setMaxIterations(int maxIterations) Set the maximum number of iterations before an exception is thrown.
void	setOptimizationEngine(TutorialOptimizationEngine optimitationEngine) Set the optimization engine.
void	setOrbitalParametersPositionScale(double orbitalParametersPositionScale) Set the scaling factor for orbital parameters normalization.

Methods inherited from class java.lang.Object

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

Constructor Detail

TutorialBatchLSEstimator

public TutorialBatchLSEstimator()

Method Detail

getOrbitalParametersPositionScale

public double getOrbitalParametersPositionScale()

Get the scaling factor for orbital parameters normalization.

Returns:

the scaling factor for orbital parameters normalization (m)

setOrbitalParametersPositionScale

public void setOrbitalParametersPositionScale(double orbitalParametersPositionScale)

Set the scaling factor for orbital parameters normalization.

Parameters:

orbitalParametersPositionScale - scaling factor for orbital parameters normalization (m)

getMaxIterations

public int getMaxIterations()

Get the maximum number of iterations before an exception is thrown.

Returns:

the maximum number of iterations before an exception is thrown

setMaxIterations

public void setMaxIterations(int maxIterations)

Set the maximum number of iterations before an exception is thrown.

Parameters:

maxIterations - maximum number of iterations before an exception is thrown

getMaxEvaluations

public int getMaxEvaluations()

Get the maximum number of evaluations before an exception is thrown.

Returns:

the maximum number of iterations before an exception is thrown

setMaxEvaluations

public void setMaxEvaluations(int maxEvaluations)

Set the maximum number of evaluations before an exception is thrown.

Parameters:

maxEvaluations - maximum number of iterations before an exception is thrown

getConvergenceThreshold

public double getConvergenceThreshold()

Get the convergence threshold.

Returns:

the convergence threshold

setConvergenceThreshold

public void setConvergenceThreshold(double convergenceThreshold)

Set the convergence threshold.

Parameters:

convergenceThreshold - convergence threshold

getOptimizationEngine

public TutorialOptimizationEngine getOptimizationEngine()

Get the optimization engine.

Returns:

the optimization engine

setOptimizationEngine

public void setOptimizationEngine(TutorialOptimizationEngine optimitationEngine)

Set the optimization engine.

Parameters:

optimitationEngine - optimization engine