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/usr/include/openturns/swig/FunctionalChaosResult_doc.i is in libopenturns-dev 1.7-3.

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%feature("docstring") OT::FunctionalChaosResult
"Functional chaos result.

Notes
-----
Structure created by the method run() of
:class:`~openturns.FunctionalChaosAlgorithm`, and obtained thanks to the method
getResult()."

// ---------------------------------------------------------------------

%feature("docstring") OT::FunctionalChaosResult::getCoefficients
"Get the coefficients.

Returns
-------
coefficients : 2-d sequence of float
    Collection of coefficients of the functional chaos
    :math:`(\\\\vect{a}_k)_{k \\\\in K}` with :math:`K` is a finite subset of
    :math:`\\\\Nset`."

// ---------------------------------------------------------------------

%feature("docstring") OT::FunctionalChaosResult::getComposedMetaModel
"Get the composed metamodel.

Returns
-------
composedMetamodel : :class:`~openturns.NumericalMathFunction`
    :math:`\\\\hat{h}=\\\\sum_{k\\\\in K} \\\\vect{a}_k \\\\Psi_k` with :math:`K` is a
    finite subset of :math:`\\\\Nset`."

// ---------------------------------------------------------------------

%feature("docstring") OT::FunctionalChaosResult::getMetaModel
"Get the metamodel.

Returns
-------
metamodel : :class:`~openturns.NumericalMathFunction`
    :math:`\\\\hat{g}=\\\\hat{h}\\\\circ T`."

// ---------------------------------------------------------------------

%feature("docstring") OT::FunctionalChaosResult::getComposedModel
"Get the composed model.

Returns
-------
composedModel : :class:`~openturns.NumericalMathFunction`
    :math:`h` which is the composition of the physical model :math:`g` and the
    inverse isoprobabilistic transformation such as:
    :math:`h : \\\\vect{U} \\\\longrightarrow \\\\vect{Y}=g \\\\circ T^{-1}(\\\\vect{U})`.
    We have :math:`h=\\\\sum_{k\\\\in \\\\Nset} \\\\vect{a}_k \\\\Psi_k`."

// ---------------------------------------------------------------------

%feature("docstring") OT::FunctionalChaosResult::getDistribution
"Get the joint distribution of the physical input vector.

Returns
-------
distribution : :class:`~openturns.Distribution`
    Joint distribution of the physical input vector
    :math:`f_{\\\\vect{X}}(\\\\vect{x})`."

// ---------------------------------------------------------------------

%feature("docstring") OT::FunctionalChaosResult::getIndices
"Get the indices of the final basis.

Returns
-------
indices : :class:`~openturns.Indices`
    Collection of integers that represent the indices of the final basis."

// ---------------------------------------------------------------------

%feature("docstring") OT::FunctionalChaosResult::getInverseTransformation
"Get the inverse isoprobabilistic transformation.

Returns
-------
transformation : :class:`~openturns.NumericalMathFunction`
    The inverse isoprobabilistic transformation :math:`T^{-1}` that transforms
    the data distributed according to the measure imposed by the selected
    orthonormal basis into the input data:
    :math:`T^{-1}: \\\\Rset^{n_X}\\\\longrightarrow \\\\Rset^{n_X}, T^{-1}(\\\\vect{U})=\\\\vect{X}`"

// ---------------------------------------------------------------------

%feature("docstring") OT::FunctionalChaosResult::getOrthogonalBasis
"Get the orthogonal basis.

Returns
-------
basis : :class:`~openturns.OrthogonalBasis`
    Orthogonal basis."

// ---------------------------------------------------------------------

%feature("docstring") OT::FunctionalChaosResult::getReducedBasis
"Get the reduced basis.

Returns
-------
basis : list of :class:`~openturns.NumericalMathFunction`
    List of functions that correspond to the basis of the functional chaos
    :math:`(\\\\Psi_k)_{k\\\\in K}` with :math:`K` is a finite subset of
    :math:`\\\\Nset`."

// ---------------------------------------------------------------------

%feature("docstring") OT::FunctionalChaosResult::getTransformation
"Get the isoprobabilistic transformation.

Returns
-------
transformation : :class:`~openturns.NumericalMathFunction`
    The isoprobabilistic transformation :math:`T` that transforms
    the input data into a data following the measure imposed by the selected
    orthonormal basis:
    :math:`T : \\\\Rset^{n_X}\\\\longrightarrow \\\\Rset^{n_X}, T(\\\\vect{X})=\\\\vect{U}`."