max.java

Apache的common math数学软件包

/*
 * 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.stat.descriptive.rank;

import org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic;

/**
 * Returns the maximum of the available values.
 * <p>
 * <ul>
 * <li>The result is <code>NaN</code> iff all values are <code>NaN</code> 
 * (i.e. <code>NaN</code> values have no impact on the value of the statistic).</li>
 * <li>If any of the values equals <code>Double.POSITIVE_INFINITY</code>, 
 * the result is <code>Double.POSITIVE_INFINITY.</code></li>
 * </ul></p>
* <p>
 * <strong>Note that this implementation is not synchronized.</strong> If 
 * multiple threads access an instance of this class concurrently, and at least
 * one of the threads invokes the <code>increment()</code> or 
 * <code>clear()</code> method, it must be synchronized externally.</p>
 * 
 * @version $Revision: 617953 $ $Date: 2008-02-02 22:54:00 -0700 (Sat, 02 Feb 2008) $
 */
public class Max extends AbstractStorelessUnivariateStatistic {

    /** Serializable version identifier */
    private static final long serialVersionUID = -5593383832225844641L;    
    
    /** Number of values that have been added */
    private long n;
        
    /** Current value of the statistic */
    private double value;

    /**
     * Create a Max instance
     */
    public Max() {
        n = 0;
        value = Double.NaN;
    }
    
    /**
     * @see org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic#increment(double)
     */
    public void increment(final double d) {
        if (d > value || Double.isNaN(value)) {
            value = d;
        }
        n++;
    }

    /**
     * @see org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic#clear()
     */
    public void clear() {
        value = Double.NaN;
        n = 0;
    }

    /**
     * @see org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic#getResult()
     */
    public double getResult() {
        return value;
    }

    /**
     * @see org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic#getN()
     */
    public long getN() {
        return n;
    }
    
    /**
     * Returns the maximum of the entries in the specified portion of
     * the input array, or <code>Double.NaN</code> if the designated subarray
     * is empty.
     * <p>
     * Throws <code>IllegalArgumentException</code> if the array is null or
     * the array index parameters are not valid.</p>
     * <p>
     * <ul>
     * <li>The result is <code>NaN</code> iff all values are <code>NaN</code> 
     * (i.e. <code>NaN</code> values have no impact on the value of the statistic).</li>
     * <li>If any of the values equals <code>Double.POSITIVE_INFINITY</code>, 
     * the result is <code>Double.POSITIVE_INFINITY.</code></li>
     * </ul></p>
     * 
     * @param values the input array
     * @param begin index of the first array element to include
     * @param length the number of elements to include
     * @return the maximum of the values or Double.NaN if length = 0
     * @throws IllegalArgumentException if the array is null or the array index
     *  parameters are not valid
     */
    public double evaluate(final double[] values, final int begin, final int length) {
        double max = Double.NaN;
        if (test(values, begin, length)) {
            max = values[begin];
            for (int i = begin; i < begin + length; i++) {
                if (!Double.isNaN(values[i])) {
                    max = (max > values[i]) ? max : values[i];
                }
            }
        }
        return max;
    }
}