public class SumOfSquares extends AbstractStorelessUnivariateStatistic implements Serializable
If there are no values in the dataset, then 0 is returned. If 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.
| Constructor and Description |
|---|
SumOfSquares()
Create a SumOfSquares instance
|
SumOfSquares(SumOfSquares original)
Copy constructor, creates a new
SumOfSquares identical
to the original |
| Modifier and Type | Method and Description |
|---|---|
void |
clear()
Clears the internal state of the Statistic
|
SumOfSquares |
copy()
Returns a copy of the statistic with the same internal state.
|
static void |
copy(SumOfSquares source,
SumOfSquares dest)
Copies source to dest.
|
double |
evaluate(double[] values,
int begin,
int length)
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. |
long |
getN()
Returns the number of values that have been added.
|
double |
getResult()
Returns the current value of the Statistic.
|
void |
increment(double d)
Updates the internal state of the statistic to reflect the addition of the new value.
|
equals, evaluate, hashCode, incrementAll, incrementAllevaluate, getData, getDataRef, setData, setData, test, test, test, testpublic SumOfSquares()
public SumOfSquares(SumOfSquares original)
SumOfSquares identical
to the originaloriginal - the SumOfSquares instance to copyNullArgumentException - if original is nullpublic void increment(double d)
increment in interface StorelessUnivariateStatisticincrement in class AbstractStorelessUnivariateStatisticd - the new value.public double getResult()
getResult in interface StorelessUnivariateStatisticgetResult in class AbstractStorelessUnivariateStatisticDouble.NaN if it
has been cleared or just instantiated.public long getN()
getN in interface StorelessUnivariateStatisticpublic void clear()
clear in interface StorelessUnivariateStatisticclear in class AbstractStorelessUnivariateStatisticpublic double evaluate(double[] values,
int begin,
int length)
Double.NaN if the designated subarray
is empty.
Throws MathIllegalArgumentException if the array is null.
evaluate in interface UnivariateStatisticevaluate in interface MathArrays.Functionevaluate in class AbstractStorelessUnivariateStatisticvalues - the input arraybegin - index of the first array element to includelength - the number of elements to includeMathIllegalArgumentException - if the array is null or the array index
parameters are not validUnivariateStatistic.evaluate(double[], int, int)public SumOfSquares copy()
copy in interface StorelessUnivariateStatisticcopy in interface UnivariateStatisticcopy in class AbstractStorelessUnivariateStatisticpublic static void copy(SumOfSquares source, SumOfSquares dest)
Neither source nor dest can be null.
source - SumOfSquares to copydest - SumOfSquares to copy toNullArgumentException - if either source or dest is nullCopyright © 2018 CNES. All Rights Reserved.