Package org.hipparchus.stat.descriptive.rank

Class Min

java.lang.Object

org.hipparchus.stat.descriptive.AbstractStorelessUnivariateStatistic

org.hipparchus.stat.descriptive.rank.Min

All Implemented Interfaces:

Serializable, DoubleConsumer, AggregatableStatistic<Min>, StorelessUnivariateStatistic, UnivariateStatistic, MathArrays.Function

public class Min
extends AbstractStorelessUnivariateStatistic
implements AggregatableStatistic<Min>, Serializable

Returns the minimum of the available values.

• The result is NaN iff all values are NaN (i.e. NaN values have no impact on the value of the statistic).
• If any of the values equals Double.NEGATIVE_INFINITY, the result is Double.NEGATIVE_INFINITY.

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.

See Also:

• Serialized Form

Constructor Summary

Constructors

Constructor	Description
Min()	Create a Min instance.
Min(Min original)	Copy constructor, creates a new Min identical to the original.

Method Summary

Modifier and Type	Method	Description
void	aggregate(Min other)	Aggregates the provided instance into this instance.
void	clear()	Clears the internal state of the Statistic
Min	copy()	Returns a copy of the statistic with the same internal state.
double	evaluate(double[] values, int begin, int length)	Returns the minimum 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.

Methods inherited from class org.hipparchus.stat.descriptive.AbstractStorelessUnivariateStatistic

equals, hashCode, toString

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface org.hipparchus.stat.descriptive.AggregatableStatistic

aggregate, aggregate

Methods inherited from interface java.util.function.DoubleConsumer

andThen

Methods inherited from interface org.hipparchus.stat.descriptive.StorelessUnivariateStatistic

accept, incrementAll, incrementAll

Methods inherited from interface org.hipparchus.stat.descriptive.UnivariateStatistic

evaluate

Constructor Details

Min

public Min()

Create a Min instance.

Min

public Min(Min original)
    throws NullArgumentException

Copy constructor, creates a new Min identical to the original.

Parameters:

original - the Min instance to copy

Throws:

NullArgumentException - if original is null

Method Details

increment

public void increment(double d)

Updates the internal state of the statistic to reflect the addition of the new value.

Specified by:

increment in interface StorelessUnivariateStatistic

Specified by:

increment in class AbstractStorelessUnivariateStatistic

Parameters:

d - the new value.

clear

public void clear()

Clears the internal state of the Statistic

Specified by:

clear in interface StorelessUnivariateStatistic

Specified by:

clear in class AbstractStorelessUnivariateStatistic

getResult

public double getResult()

Returns the current value of the Statistic.

Specified by:

getResult in interface StorelessUnivariateStatistic

Specified by:

getResult in class AbstractStorelessUnivariateStatistic

Returns:

value of the statistic, Double.NaN if it has been cleared or just instantiated.

getN

public long getN()

Returns the number of values that have been added.

Specified by:

getN in interface StorelessUnivariateStatistic

Returns:

the number of values.

aggregate

public void aggregate(Min other)

Aggregates the provided instance into this instance.

This method can be used to combine statistics computed over partitions or subsamples - i.e., the value of this instance after this operation should be the same as if a single statistic would have been applied over the combined dataset.

Specified by:

aggregate in interface AggregatableStatistic<Min>

Parameters:

other - the instance to aggregate into this instance

evaluate

public double evaluate(double[] values,
 int begin,
 int length)
                throws MathIllegalArgumentException

Returns the minimum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

Throws MathIllegalArgumentException if the array is null or the array index parameters are not valid.

• The result is NaN iff all values are NaN (i.e. NaN values have no impact on the value of the statistic).
• If any of the values equals Double.NEGATIVE_INFINITY, the result is Double.NEGATIVE_INFINITY.

Specified by:

evaluate in interface MathArrays.Function

Specified by:

evaluate in interface StorelessUnivariateStatistic

Specified by:

evaluate in interface UnivariateStatistic

Parameters:

values - the input array

begin - index of the first array element to include

length - the number of elements to include

Returns:

the minimum of the values or Double.NaN if length = 0

Throws:

MathIllegalArgumentException - if the array is null or the array index parameters are not valid

See Also:

• UnivariateStatistic.evaluate(double[], int, int)

copy

public Min copy()

Returns a copy of the statistic with the same internal state.

Specified by:

copy in interface StorelessUnivariateStatistic

Specified by:

copy in interface UnivariateStatistic

Specified by:

copy in class AbstractStorelessUnivariateStatistic

Returns:

a copy of the statistic