org.apache.commons.math.optimization.RealConvergenceChecker Maven / Gradle / Ivy

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 * Licensed to the Apache Software Foundation (ASF) under one or more
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 * 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,
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package org.apache.commons.math.optimization;

/** This interface specifies how to check if an {@link MultivariateRealOptimizer 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, 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.
 *
 * @version $Revision: 799857 $ $Date: 2009-08-01 15:07:12 +0200 (sam. 01 août 2009) $
 * @since 2.0
 */

public interface RealConvergenceChecker {

  /** Check if the optimization algorithm has converged considering the last points.
   * 
   * 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.
   * 
   * @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);

}