KrawtchoukFactory¶
(Source code
, png
)
- class KrawtchoukFactory(*args)¶
Krawtchouk specific orthonormal univariate polynomial family.
For the
Binomial
distribution.- Parameters:
Notes
Any sequence of orthogonal polynomials has a recurrence formula relating any three consecutive polynomials as follows:
The recurrence coefficients for the Krawtchouk polynomials come analytically and read:
where and are the parameters of the
Binomial
distribution.Warning
The Krawtchouk polynomials are only defined up to a degree equal to . Indeed, for , some factors in the denominators of the recurrence coefficients would be equal to zero.
Examples
>>> import openturns as ot >>> polynomial_factory = ot.KrawtchoukFactory(3, 0.5) >>> for i in range(3): ... print(polynomial_factory.build(i)) 1 -1.73205 + 1.1547 * X 1.73205 - 3.4641 * X + 1.1547 * X^2
Methods
build
(degree)Build the -th order orthogonal univariate polynomial.
buildCoefficients
(degree)Build the -th order orthogonal univariate polynomial coefficients.
Build the recurrence coefficients.
Accessor to the object's name.
Accessor to the associated probability measure.
getN
()Accessor to the parameter.
getName
()Accessor to the object's name.
Build the -th order quadrature scheme.
getP
()Accessor to the parameter.
Accessor to the recurrence coefficients of the -th order.
getRoots
(n)Accessor to the recurrence coefficients of the -th order.
hasName
()Test if the object is named.
setName
(name)Accessor to the object's name.
- __init__(*args)¶
- build(degree)¶
Build the -th order orthogonal univariate polynomial.
- Parameters:
- kint,
Polynomial order.
- Returns:
- polynomial
OrthogonalUniVariatePolynomial
Requested orthogonal univariate polynomial.
- polynomial
Examples
>>> import openturns as ot >>> polynomial_factory = ot.HermiteFactory() >>> print(polynomial_factory.build(2)) -0.707107 + 0.707107 * X^2
- buildCoefficients(degree)¶
Build the -th order orthogonal univariate polynomial coefficients.
- Parameters:
- kint,
Polynomial order.
- Returns:
- coefficients
Point
Coefficients of the requested orthogonal univariate polynomial.
- coefficients
Examples
>>> import openturns as ot >>> polynomial_factory = ot.HermiteFactory() >>> print(polynomial_factory.buildCoefficients(2)) [-0.707107,0,0.707107]
- buildRecurrenceCoefficientsCollection(degree)¶
Build the recurrence coefficients.
Build the recurrence coefficients of the orthogonal univariate polynomial family up to the -th order.
- Parameters:
- kint,
Polynomial order.
- Returns:
- recurrence_coefficientslist of
Point
All the tecurrence coefficients up to the requested order.
- recurrence_coefficientslist of
Examples
>>> import openturns as ot >>> polynomial_factory = ot.HermiteFactory() >>> print(polynomial_factory.buildRecurrenceCoefficientsCollection(2)) 0 : [ 1 0 0 ] 1 : [ 0.707107 0 -0.707107 ]
- getClassName()¶
Accessor to the object’s name.
- Returns:
- class_namestr
The object class name (object.__class__.__name__).
- getMeasure()¶
Accessor to the associated probability measure.
- Returns:
- measure
Distribution
The associated probability measure (according to which the polynomials are orthogonal).
- measure
Notes
Two polynomials P and Q are orthogonal with respect to the probability measure if and only if their dot product:
where and .
Examples
>>> import openturns as ot >>> polynomial_factory = ot.HermiteFactory() >>> print(polynomial_factory.getMeasure()) Normal(mu = 0, sigma = 1)
- getN()¶
Accessor to the parameter.
- Returns:
- nint
Number of experiments parameter of the
Binomial
distribution.
- getName()¶
Accessor to the object’s name.
- Returns:
- namestr
The name of the object.
- getNodesAndWeights(n)¶
Build the -th order quadrature scheme.
Associated with the orthogonal univariate polynomials family.
- Parameters:
- kint,
Polynomial order.
- Returns:
Examples
>>> import openturns as ot >>> polynomial_factory = ot.HermiteFactory() >>> nodes, weights = polynomial_factory.getNodesAndWeights(3) >>> print(nodes) [-1.73205,...,1.73205] >>> print(weights) [0.166667,0.666667,0.166667]
- getP()¶
Accessor to the parameter.
- Returns:
- pfloat
Success probability parameter of the
Binomial
distribution.
- getRecurrenceCoefficients(n)¶
Accessor to the recurrence coefficients of the -th order.
Of the orthogonal univariate polynomial.
- Parameters:
- kint,
Polynomial order.
- Returns:
- recurrence_coefficients
Point
The recurrence coefficients of the -th order orthogonal univariate polynomial.
- recurrence_coefficients
Notes
Any sequence of orthogonal polynomials has a recurrence formula relating any three consecutive polynomials as follows:
Examples
>>> import openturns as ot >>> polynomial_factory = ot.HermiteFactory() >>> print(polynomial_factory.getRecurrenceCoefficients(3)) [0.5,0,-0.866025]
- getRoots(n)¶
Accessor to the recurrence coefficients of the -th order.
Of the orthogonal univariate polynomial.
- Parameters:
- kint,
Polynomial order.
- Returns:
- roots
Point
The roots of the -th order orthogonal univariate polynomial.
- roots
Examples
>>> import openturns as ot >>> polynomial_factory = ot.HermiteFactory() >>> print(polynomial_factory.getRoots(3)) [-1.73205,...,1.73205]
- hasName()¶
Test if the object is named.
- Returns:
- hasNamebool
True if the name is not empty.
- setName(name)¶
Accessor to the object’s name.
- Parameters:
- namestr
The name of the object.
Examples using the class¶
Advanced polynomial chaos construction