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%feature("docstring") OT::CauchyModel
"Cauchy spectral model.

Available constructors:
    CauchyModel(*theta, sigma*)

Parameters
----------
theta : sequence of float
    Scale coefficients :math:`\\\\theta` of the spectral density function.
    Vector of size n
sigma : sequence of float
    Amplitude coefficients :math:`\\\\sigma` of the spectral density function.
    Vector of size p

Notes
-----
The spectral density function of input dimension **n** and output dimension **p** writes:

.. math::

   \\\\forall (i,j) \\\\in [0,p-1]^2, S(f)_{i,j} =  \\\\Sigma_{i,j} \\\\prod_{k=1}^{n} \\\\frac{\\\\theta_k}{1 + (2\\\\pi \\\\theta_k f)^2}


Examples
--------
>>> import openturns as ot
>>> spectralModel = ot.CauchyModel([3.0, 2.0], [2.0])
>>> f = 0.3
>>> print(spectralModel(f))
[[ (0.191364,0) ]]
>>> f = 10
>>> print(spectralModel(f))
[[ (1.71084e-07,0) ]]"

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

%define OT_CauchyModel_computeStandardRepresentative_doc
"Compute the standard representant of the spectral density function.

Parameters
----------
tau : float
    Frequency value.

Returns
-------
rho : Complex
     Standard representant factor of the spectral density function.

Notes
-----
Using definitions in :class:`~openturns.SpectralModel`: the standard representative function writes:

.. math::

  \\\\forall \\\\vect{f} \\\\in \\\\Rset^n, \\\\rho(\\\\vect{f} \\\\odot \\\\vect{\\\\theta}) =  \\\\prod_{k=1}^{n} \\\\frac{1}{1 + (2\\\\pi \\\\theta_k f)^2}

where :math:`(\\\\vect{f} \\\\odot \\\\vect{\\\\theta})_k = \\\\vect{f}_k \\\\vect{\\\\theta}_k`"
%enddef
%feature("docstring") OT::CauchyModel::computeStandardRepresentative
OT_CauchyModel_computeStandardRepresentative_doc

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