IterativeExtrema

class IterativeExtrema(dimension=1)

Iterative minimum and maximum.

Parameters:

dimensionint

Dimension of the input data

Methods

getClassName()	Accessor to the object's name.
getDimension()	Get the dimension of the algorithm
getIterationNumber()	Get the current iteration of the algorithm
getMax()	Returns the values of the maximum over the inputs component per component
getMin()	Returns the values of the minimum over the inputs component per component
getName()	Accessor to the object's name.
hasName()	Test if the object is named.
increment(*args)	Increment the internal data.
setName(name)	Accessor to the object's name.

See also

IterativeAlgorithm

Notes

This class iteratively computes the minimum and maximum over an iteratively increasing dataset without storing any data in memory.

Examples

>>> import openturns as ot
>>> ot.RandomGenerator.SetSeed(0)
>>> dim = 5
>>> myExtrema = ot.IterativeExtrema(dim)
>>> n = ot.Normal(dim)
>>> size = 50

Increment the data one point at a time:

>>> for i in range(size):
...     point = n.getRealization()
...     myExtrema.increment(point)
>>> print(myExtrema.getIterationNumber())
50
>>> print(myExtrema.getMin())
[-2.4067,-2.53986,-2.29006,-3.09737,-2.18139]
>>> print(myExtrema.getMax())
[3.01263,3.02799,1.85579,2.11968,1.36783]

Increment with 50 additional points simultaneously and recompute the extrema:

>>> sample = n.getSample(size)
>>> myExtrema.increment(sample)
>>> print(myExtrema.getIterationNumber())
100
>>> print(myExtrema.getMin())
[-2.4067,-2.53986,-2.72106,-3.09737,-2.18139]
>>> print(myExtrema.getMax())
[3.01263,3.02799,2.24097,2.11968,2.55533]

__init__(dimension=1)

getClassName()

Accessor to the object’s name.

Returns:

class_namestr

The object class name (object.__class__.__name__).

getDimension()

Get the dimension of the algorithm

Returns:

dimensionint

Dimension of the algorithm

getIterationNumber()

Get the current iteration of the algorithm

Returns:

iterationint

Current iteration of the algorithm

getMax()

Returns the values of the maximum over the inputs component per component

Returns:

maxPoint

current values of the iterative maximum.

getMin()

Returns the values of the minimum over the inputs component per component

Returns:

minPoint

current values of the iterative minimum.

getName()

Accessor to the object’s name.

Returns:

namestr

The name of the object.

hasName()

Test if the object is named.

Returns:

hasNamebool

True if the name is not empty.

increment(*args)

Increment the internal data.

Parameters:

datasequence of float or 2-d sequence of float

New input point or sample.

setName(name)

Accessor to the object’s name.

Parameters:

namestr

The name of the object.

Examples using the class

Estimate extrema iteratively

Estimate extrema iteratively