Class EvaluationRmsChecker

java.lang.Object

org.apache.commons.math3.fitting.leastsquares.EvaluationRmsChecker

All Implemented Interfaces:

ConvergenceChecker<LeastSquaresProblem.Evaluation>

public class EvaluationRmsChecker
extends Object
implements ConvergenceChecker<LeastSquaresProblem.Evaluation>

Check if an optimization has converged based on the change in computed RMS.

Since:

3.4

Constructor Summary

Constructors

Constructor	Description
EvaluationRmsChecker(double tol)	Create a convergence checker for the RMS with the same relative and absolute tolerance.
EvaluationRmsChecker(double relTol, double absTol)	Create a convergence checker for the RMS with a relative and absolute tolerance.

Method Summary

Modifier and Type	Method	Description
boolean	converged(int iteration, LeastSquaresProblem.Evaluation previous, LeastSquaresProblem.Evaluation current)	Check if the optimization algorithm has converged.

Methods inherited from class Object

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

Constructor Details

EvaluationRmsChecker

public EvaluationRmsChecker(double tol)

Create a convergence checker for the RMS with the same relative and absolute tolerance.

Convenience constructor for when the relative and absolute tolerances are the same. Same as new EvaluationRmsChecker(tol, tol).

Parameters:

tol - the relative and absolute tolerance.

See Also:

• EvaluationRmsChecker(double, double)

EvaluationRmsChecker

public EvaluationRmsChecker(double relTol,
 double absTol)

Create a convergence checker for the RMS with a relative and absolute tolerance.

The optimization has converged when the RMS of consecutive evaluations are equal to within the given relative tolerance or absolute tolerance.

Parameters:

relTol - the relative tolerance.

absTol - the absolute tolerance.

See Also:

• Precision.equals(double, double, double)
• Precision.equalsWithRelativeTolerance(double, double, double)

Method Details

converged

public boolean converged(int iteration,
 LeastSquaresProblem.Evaluation previous,
 LeastSquaresProblem.Evaluation current)

Check if the optimization algorithm has converged.

Specified by:

converged in interface ConvergenceChecker<LeastSquaresProblem.Evaluation>

Parameters:

iteration - Current iteration.

previous - Best point in the previous iteration.

current - Best point in the current iteration.

Returns:

true if the algorithm is considered to have converged.