![JAR search and dependency download from the Maven repository](/logo.png)
org.apache.commons.math.stat.descriptive.summary.SumOfSquares Maven / Gradle / Ivy
/*
* 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.summary;
import java.io.Serializable;
import org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic;
/**
* Returns the sum of the squares of the available values.
*
* If there are no values in the dataset, or any of the values are
* NaN
, then NaN
is returned.
*
* Note that this implementation is not synchronized. If
* multiple threads access an instance of this class concurrently, and at least
* one of the threads invokes the increment()
or
* clear()
method, it must be synchronized externally.
*
* @version $Revision: 617953 $ $Date: 2008-02-02 22:54:00 -0700 (Sat, 02 Feb 2008) $
*/
public class SumOfSquares extends AbstractStorelessUnivariateStatistic implements Serializable {
/** Serializable version identifier */
private static final long serialVersionUID = 1460986908574398008L;
/** */
private long n;
/**
* The currently running sumSq
*/
private double value;
/**
* Create a SumOfSquares instance
*/
public SumOfSquares() {
n = 0;
value = Double.NaN;
}
/**
* @see org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic#increment(double)
*/
public void increment(final double d) {
if (n == 0) {
value = d * d;
} else {
value += d * d;
}
n++;
}
/**
* @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;
}
/**
* @see org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic#clear()
*/
public void clear() {
value = Double.NaN;
n = 0;
}
/**
* Returns the sum of the squares of the entries in the specified portion of
* the input array, or Double.NaN
if the designated subarray
* is empty.
*
* Throws IllegalArgumentException
if the array is null.
*
* @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 sum of the squares 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 sumSq = Double.NaN;
if (test(values, begin, length)) {
sumSq = 0.0;
for (int i = begin; i < begin + length; i++) {
sumSq += values[i] * values[i];
}
}
return sumSq;
}
}
© 2015 - 2025 Weber Informatics LLC | Privacy Policy