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With inspiration from other libraries
/*
* 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);
}