Package org.orekit.estimation.leastsquares

Interface BatchLSObserver

Functional Interface:

This is a functional interface and can therefore be used as the assignment target for a lambda expression or method reference.

@FunctionalInterface
public interface BatchLSObserver

Observer for batch least squares estimator iterations.

This interface is intended to be implemented by users to monitor the progress of the estimator during estimation.

Since:

8.0

Author:

Luc Maisonobe

Method Summary

Modifier and Type	Method	Description
void	evaluationPerformed(int iterationsCount, int evaluationsCount, Orbit[] orbits, ParameterDriversList estimatedOrbitalParameters, ParameterDriversList estimatedPropagatorParameters, ParameterDriversList estimatedMeasurementsParameters, EstimationsProvider evaluationsProvider, LeastSquaresProblem.Evaluation lspEvaluation)	Notification callback for the end of each evaluation.

Method Detail

evaluationPerformed

void evaluationPerformed(int iterationsCount,
                         int evaluationsCount,
                         Orbit[] orbits,
                         ParameterDriversList estimatedOrbitalParameters,
                         ParameterDriversList estimatedPropagatorParameters,
                         ParameterDriversList estimatedMeasurementsParameters,
                         EstimationsProvider evaluationsProvider,
                         LeastSquaresProblem.Evaluation lspEvaluation)

Notification callback for the end of each evaluation.

Parameters:

iterationsCount - iterations count

evaluationsCount - evaluations count

orbits - current estimated orbits

estimatedOrbitalParameters - estimated orbital parameters

estimatedPropagatorParameters - estimated propagator parameters

estimatedMeasurementsParameters - estimated measurements parameters

evaluationsProvider - provider for measurements evaluations resulting from the current estimated orbit (this is an unmodifiable view of the current evaluations, its content is changed at each iteration)

lspEvaluation - current evaluation of the underlying least squares problem