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## org.apache.commons.math3.stat.descriptive.rank
Class Min

    java.lang.Object
      org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
          org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
              org.apache.commons.math3.stat.descriptive.rank.Min

All Implemented Interfaces:
  Serializable, StorelessUnivariateStatistic, UnivariateStatistic, MathArrays.Function

    public class Min

extends AbstractStorelessUnivariateStatistic
implements 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.

Version:
  $Id: Min.java 1416643 2012-12-03 19:37:14Z tn $
See Also:
  Serialized Form

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

Method Summary
`void` | `clear()` Clears the internal state of the Statistic
`Min` | `copy()` Returns a copy of the statistic with the same internal state.
`static void` | `copy(Min source, Min dest)` Copies source to dest.
`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.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
`equals, evaluate, hashCode, incrementAll, incrementAll`

Methods inherited from class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
`evaluate, getData, getDataRef, setData, setData, test, test, test, test`

Methods inherited from class java.lang.Object
`clone, finalize, getClass, notify, notifyAll, toString, wait, wait, wait`

Constructor Detail

### 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 Detail

### 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.

### 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 `UnivariateStatistic`
  Specified by:
    `evaluate` in interface `MathArrays.Function`
  Overrides:
    `evaluate` in class `AbstractStorelessUnivariateStatistic`
  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

### copy

    public static void copy(Min source,
                            Min dest)
                     throws NullArgumentException

  Copies source to dest.

  Neither source nor dest can be null.

  Parameters:
    `source` - Min to copy
    `dest` - Min to copy to
  Throws:
    `NullArgumentException` - if either source or dest is null

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