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Java example source code file (EvaluationRmsChecker.java)

This example Java source code file (EvaluationRmsChecker.java) is included in the alvinalexander.com "Java Source Code Warehouse" project. The intent of this project is to help you "Learn Java by Example" TM.

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Java - Java tags/keywords

convergencechecker, evaluation, evaluationrmschecker

The EvaluationRmsChecker.java Java example source code

 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *      http://www.apache.org/licenses/LICENSE-2.0
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * See the License for the specific language governing permissions and
 * limitations under the License.
package org.apache.commons.math3.fitting.leastsquares;

import org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation;
import org.apache.commons.math3.optim.ConvergenceChecker;
import org.apache.commons.math3.util.Precision;

 * Check if an optimization has converged based on the change in computed RMS.
 * @since 3.4
public class EvaluationRmsChecker implements ConvergenceChecker<Evaluation> {

    /** relative tolerance for comparisons. */
    private final double relTol;
    /** absolute tolerance for comparisons. */
    private final double absTol;

     * Create a convergence checker for the RMS with the same relative and absolute
     * tolerance.
     * <p>Convenience constructor for when the relative and absolute tolerances are the
     * same. Same as {@code new EvaluationRmsChecker(tol, tol)}.
     * @param tol the relative and absolute tolerance.
     * @see #EvaluationRmsChecker(double, double)
    public EvaluationRmsChecker(final double tol) {
        this(tol, tol);

     * Create a convergence checker for the RMS with a relative and absolute tolerance.
     * <p>The optimization has converged when the RMS of consecutive evaluations are equal
     * to within the given relative tolerance or absolute tolerance.
     * @param relTol the relative tolerance.
     * @param absTol the absolute tolerance.
     * @see Precision#equals(double, double, double)
     * @see Precision#equalsWithRelativeTolerance(double, double, double)
    public EvaluationRmsChecker(final double relTol, final double absTol) {
        this.relTol = relTol;
        this.absTol = absTol;

    /** {@inheritDoc} */
    public boolean converged(final int iteration,
                             final Evaluation previous,
                             final Evaluation current) {
        final double prevRms = previous.getRMS();
        final double currRms = current.getRMS();
        return Precision.equals(prevRms, currRms, this.absTol) ||
                Precision.equalsWithRelativeTolerance(prevRms, currRms, this.relTol);


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