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Commons Math example source code file (ConvergingAlgorithm.java)

This example Commons Math source code file (ConvergingAlgorithm.java) is included in the DevDaily.com "Java Source Code Warehouse" project. The intent of this project is to help you "Learn Java by Example" TM.

Java - Commons Math tags/keywords

convergingalgorithm, convergingalgorithm

The Commons Math ConvergingAlgorithm.java source code

/*
 * 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;


/**
 * Interface for algorithms handling convergence settings.
 * <p>
 * This interface only deals with convergence parameters setting, not
 * execution of the algorithms per se.
 * </p>
 * @see ConvergenceException
 * @version $Revision: 811786 $ $Date: 2009-09-06 05:36:08 -0400 (Sun, 06 Sep 2009) $
 * @since 2.0
 */
public interface ConvergingAlgorithm {

    /**
     * Set the upper limit for the number of iterations.
     * <p>
     * Usually a high iteration count indicates convergence problems. However,
     * the "reasonable value" varies widely for different algorithms. Users are
     * advised to use the default value supplied by the algorithm.</p>
     * <p>
     * A {@link ConvergenceException} will be thrown if this number
     * is exceeded.</p>
     *
     * @param count maximum number of iterations
     */
    void setMaximalIterationCount(int count);

    /**
     * Get the upper limit for the number of iterations.
     *
     * @return the actual upper limit
     */
    int getMaximalIterationCount();

    /**
     * Reset the upper limit for the number of iterations to the default.
     * <p>
     * The default value is supplied by the algorithm implementation.</p>
     *
     * @see #setMaximalIterationCount(int)
     */
    void resetMaximalIterationCount();

    /**
     * Set the absolute accuracy.
     * <p>
     * The default is usually chosen so that results in the interval
     * -10..-0.1 and +0.1..+10 can be found with a reasonable accuracy. If the
     * expected absolute value of your results is of much smaller magnitude, set
     * this to a smaller value.</p>
     * <p>
     * Algorithms are advised to do a plausibility check with the relative
     * accuracy, but clients should not rely on this.</p>
     *
     * @param accuracy the accuracy.
     * @throws IllegalArgumentException if the accuracy can't be achieved by
     * the solver or is otherwise deemed unreasonable.
     */
    void setAbsoluteAccuracy(double accuracy);

    /**
     * Get the actual absolute accuracy.
     *
     * @return the accuracy
     */
    double getAbsoluteAccuracy();

    /**
     * Reset the absolute accuracy to the default.
     * <p>
     * The default value is provided by the algorithm implementation.</p>
     */
    void resetAbsoluteAccuracy();

    /**
     * Set the relative accuracy.
     * <p>
     * This is used to stop iterations if the absolute accuracy can't be
     * achieved due to large values or short mantissa length.</p>
     * <p>
     * If this should be the primary criterion for convergence rather then a
     * safety measure, set the absolute accuracy to a ridiculously small value,
     * like {@link org.apache.commons.math.util.MathUtils#SAFE_MIN MathUtils.SAFE_MIN}.</p>
     *
     * @param accuracy the relative accuracy.
     * @throws IllegalArgumentException if the accuracy can't be achieved by
     *  the algorithm or is otherwise deemed unreasonable.
     */
    void setRelativeAccuracy(double accuracy);

    /**
     * Get the actual relative accuracy.
     * @return the accuracy
     */
    double getRelativeAccuracy();

    /**
     * Reset the relative accuracy to the default.
     * The default value is provided by the algorithm implementation.
     */
    void resetRelativeAccuracy();

    /**
     * Get the number of iterations in the last run of the algorithm.
     * <p>
     * This is mainly meant for testing purposes. It may occasionally
     * help track down performance problems: if the iteration count
     * is notoriously high, check whether the problem is evaluated
     * properly, and whether another algorithm is more amenable to the
     * problem.</p>
     *
     * @return the last iteration count.
     * @throws IllegalStateException if there is no result available, either
     * because no result was yet computed or the last attempt failed.
     */
    int getIterationCount();

}

Other Commons Math examples (source code examples)

Here is a short list of links related to this Commons Math ConvergingAlgorithm.java source code file:

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