001/* 002 * Licensed to the Apache Software Foundation (ASF) under one or more 003 * contributor license agreements. See the NOTICE file distributed with 004 * this work for additional information regarding copyright ownership. 005 * The ASF licenses this file to You under the Apache License, Version 2.0 006 * (the "License"); you may not use this file except in compliance with 007 * the License. You may obtain a copy of the License at 008 * 009 * http://www.apache.org/licenses/LICENSE-2.0 010 * 011 * Unless required by applicable law or agreed to in writing, software 012 * distributed under the License is distributed on an "AS IS" BASIS, 013 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 014 * See the License for the specific language governing permissions and 015 * limitations under the License. 016 */ 017package org.apache.commons.math3.fitting.leastsquares; 018 019import org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation; 020import org.apache.commons.math3.optim.ConvergenceChecker; 021import org.apache.commons.math3.util.Precision; 022 023/** 024 * Check if an optimization has converged based on the change in computed RMS. 025 * 026 * @since 3.4 027 */ 028public class EvaluationRmsChecker implements ConvergenceChecker<Evaluation> { 029 030 /** relative tolerance for comparisons. */ 031 private final double relTol; 032 /** absolute tolerance for comparisons. */ 033 private final double absTol; 034 035 /** 036 * Create a convergence checker for the RMS with the same relative and absolute 037 * tolerance. 038 * 039 * <p>Convenience constructor for when the relative and absolute tolerances are the 040 * same. Same as {@code new EvaluationRmsChecker(tol, tol)}. 041 * 042 * @param tol the relative and absolute tolerance. 043 * @see #EvaluationRmsChecker(double, double) 044 */ 045 public EvaluationRmsChecker(final double tol) { 046 this(tol, tol); 047 } 048 049 /** 050 * Create a convergence checker for the RMS with a relative and absolute tolerance. 051 * 052 * <p>The optimization has converged when the RMS of consecutive evaluations are equal 053 * to within the given relative tolerance or absolute tolerance. 054 * 055 * @param relTol the relative tolerance. 056 * @param absTol the absolute tolerance. 057 * @see Precision#equals(double, double, double) 058 * @see Precision#equalsWithRelativeTolerance(double, double, double) 059 */ 060 public EvaluationRmsChecker(final double relTol, final double absTol) { 061 this.relTol = relTol; 062 this.absTol = absTol; 063 } 064 065 /** {@inheritDoc} */ 066 public boolean converged(final int iteration, 067 final Evaluation previous, 068 final Evaluation current) { 069 final double prevRms = previous.getRMS(); 070 final double currRms = current.getRMS(); 071 return Precision.equals(prevRms, currRms, this.absTol) || 072 Precision.equalsWithRelativeTolerance(prevRms, currRms, this.relTol); 073 } 074 075}