Package org.orekit.rugged.adjustment

Class GroundOptimizationProblemBuilder

java.lang.Object

org.orekit.rugged.adjustment.GroundOptimizationProblemBuilder

public class GroundOptimizationProblemBuilder
extends Object

Ground optimization problem builder. builds the optimization problem relying on ground measurements.

Since:

2.0

Author:

Guylaine Prat, Lucie Labat Allee, Jonathan Guinet, Luc Maisonobe

Field Summary

Fields

Modifier and Type	Field	Description
protected static int	ESTIMATION_LINE_RANGE_MARGIN	Margin used in parameters estimation for the inverse location lines range.

Constructor Summary

Constructors

Constructor	Description
GroundOptimizationProblemBuilder(List<LineSensor> sensors, Observables measurements, Rugged rugged)	Build a new instance of the optimization problem.

Method Summary

Modifier and Type	Method	Description
LeastSquaresProblem	build(int maxEvaluations, double convergenceThreshold)	Least square problem builder.
protected MultivariateJacobianFunction	createFunction()	Create the model function value and its Jacobian.
protected void	createTargetAndWeight()	Create targets and weights of optimization problem.
protected List<ParameterDriver>	getDrivers()	Get the parameters drivers list.
protected DerivativeGenerator<Gradient>	getGenerator()	Get the derivative structure generator.
protected Observables	getMeasurements()	Get the measurements.
protected int	getNbParams()	Get the number of parameters to refine.
protected List<LineSensor>	getSensors()	Get the sensors list.
protected void	initMapping()	Parse the observables to select mapping .

Methods inherited from class java.lang.Object

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

Field Detail

ESTIMATION_LINE_RANGE_MARGIN

protected static final int ESTIMATION_LINE_RANGE_MARGIN

Margin used in parameters estimation for the inverse location lines range.

See Also:

Constant Field Values

Constructor Detail

GroundOptimizationProblemBuilder

public GroundOptimizationProblemBuilder(List<LineSensor> sensors,
                                        Observables measurements,
                                        Rugged rugged)

Build a new instance of the optimization problem.

Parameters:

sensors - list of sensors to refine

measurements - set of observables

rugged - name of rugged to refine

Method Detail

initMapping

protected void initMapping()

Parse the observables to select mapping .

createTargetAndWeight

protected void createTargetAndWeight()

Create targets and weights of optimization problem.

createFunction

protected MultivariateJacobianFunction createFunction()

Create the model function value and its Jacobian.

Returns:

the model function value and its Jacobian

build

public final LeastSquaresProblem build(int maxEvaluations,
                                       double convergenceThreshold)

Least square problem builder.

Parameters:

maxEvaluations - maxIterations and evaluations

convergenceThreshold - parameter convergence threshold

Returns:

the least square problem

getSensors

protected List<LineSensor> getSensors()

Get the sensors list.

Returns:

the sensors list

getNbParams

protected final int getNbParams()

Get the number of parameters to refine.

Returns:

the number of parameters to refine

getDrivers

protected final List<ParameterDriver> getDrivers()

Get the parameters drivers list.

Returns:

the selected list of parameters driver

getGenerator

protected final DerivativeGenerator<Gradient> getGenerator()

Get the derivative structure generator.

Returns:

the derivative structure generator.

getMeasurements

protected Observables getMeasurements()

Get the measurements.

Returns:

the measurements