Java tutorial
/* * 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, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package org.apache.commons.math.optimization; /** This interface specifies how to check if an {@link MultivariateRealOptimizer optimization * algorithm} has converged. * * <p>Deciding if convergence has been reached is a problem-dependent issue. The * user should provide a class implementing this interface to allow the optimization * algorithm to stop its search according to the problem at hand.</p> * <p>For convenience, two implementations that fit simple needs are already provided: * {@link SimpleScalarValueChecker} and {@link SimpleRealPointChecker}. The first * one considers convergence is reached when the objective function value does not * change much anymore, it does not use the point set at all. The second one * considers convergence is reached when the input point set does not change * much anymore, it does not use objective function value at all.</p> * * @version $Revision: 799857 $ $Date: 2009-08-01 15:07:12 +0200 (sam. 01 aot 2009) $ * @since 2.0 */ public interface RealConvergenceChecker { /** Check if the optimization algorithm has converged considering the last points. * <p> * This method may be called several time from the same algorithm iteration with * different points. This can be detected by checking the iteration number at each * call if needed. Each time this method is called, the previous and current point * correspond to points with the same role at each iteration, so they can be * compared. As an example, simplex-based algorithms call this method for all * points of the simplex, not only for the best or worst ones. * </p> * @param iteration index of current iteration * @param previous point from previous iteration * @param current point from current iteration * @return true if the algorithm is considered to have converged */ boolean converged(int iteration, RealPointValuePair previous, RealPointValuePair current); }