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/*
 * 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.math3.optimization;

/**
 * This interface specifies how to check if an optimization algorithm has
 * converged.
 * 
* 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. *
* For convenience, three implementations that fit simple needs are already * provided: {@link SimpleValueChecker}, {@link SimpleVectorValueChecker} and * {@link SimplePointChecker}. The first two consider that convergence is * reached when the objective function value does not change much anymore, it * does not use the point set at all. * The third one considers that convergence is reached when the input point * set does not change much anymore, it does not use objective function value * at all. * * @param Type of the (point, objective value) pair. * * @see org.apache.commons.math3.optimization.SimplePointChecker * @see org.apache.commons.math3.optimization.SimpleValueChecker * @see org.apache.commons.math3.optimization.SimpleVectorValueChecker * * @deprecated As of 3.1 (to be removed in 4.0). * @since 3.0 */ @Deprecated public interface ConvergenceChecker { /** * Check if the optimization algorithm has converged. * * @param iteration Current iteration. * @param previous Best point in the previous iteration. * @param current Best point in the current iteration. * @return {@code true} if the algorithm is considered to have converged. */ boolean converged(int iteration, PAIR previous, PAIR current); }




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