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%feature("docstring") OT::GaussKronrodRule
"Gauss-Kronrod rule used in the integration algorithm.

Parameters
----------
myGaussKronrodPair : :class:`~openturns.GaussKronrodPair`
    It encodes the selected rule. 

    Available rules: 

    - GaussKronrodRule.G3K7, 
    - GaussKronrodRule.G7K15, 
    - GaussKronrodRule.G11K23,
    - GaussKronrodRule.G15K31, 
    - GaussKronrodRule.G25K51. 

Notes
-----
The Gauss-Kronrod rules :math:`G_mK_{2m+1}` with  :math:`m=2n+1` enable to build two approximations of the definite integral :math:`\\\\int_{-1}^1 f(t)\\\\, dt` defined by:

.. math::

    \\\\int_{-1}^1 f(t)\\\\, dt \\\\simeq  \\\\omega_0f(0) + \\\\sum_{k=1}^n \\\\omega_k (f(\\\\xi_k)+f(-\\\\xi_k))

and:

.. math::

  \\\\int_{-1}^1 f(t)\\\\, dt\\\\simeq  \\\\alpha_0f(0) + \\\\sum_{k=1}^{m} \\\\alpha_k (f(\\\\zeta_k)+f(-\\\\zeta_k))

We have :math:`\\\\xi_k>0`,  :math:`\\\\zeta_k>0`, :math:`\\\\zeta_{2j}=\\\\xi_j`, :math:`\\\\omega_k>0` and :math:`\\\\alpha_k>0`.

The rule :math:`G_mK_{2m+1}` combines a :math:`m`-point Gauss rule and a :math:`(2m+1)`-point Kronrod rule (re-using the :math:`m` nodes of the Gauss method). The nodes are defined on :math:`[-1, 1]` and always contain the node 0 when :math:`m`  is odd. 

Examples
--------
Create an Gauss-Kronrod rule:

>>> import openturns as ot
>>> myRule = ot.GaussKronrodRule(ot.GaussKronrodRule.G15K31)"


// ---------------------------------------------------------------------
%feature("docstring") OT::GaussKronrodRule::getOrder
"Accessor to :math:`m` parameter.

Returns
-------
m : int
    The number of points used for the Gauss approximation."

// ---------------------------------------------------------------------
%feature("docstring") OT::GaussKronrodRule::getPair
"Accessor to pair definig the rule.

Returns
-------
gkPair : :class:`~openturns.GaussKronrodPair`
    Id of the Gauss-Kronrod rule."

// ---------------------------------------------------------------------
%feature("docstring") OT::GaussKronrodRule::getOtherGaussWeights
"Accessor to the weights used in the Gauss approximation.

Returns
-------
otherGaussWeights : :class:`~openturns.NumericalPoint`
    The  weights :math:`(\\\\omega_k)_{1 \\\\leq k \\\\leq n}`"

// ---------------------------------------------------------------------
%feature("docstring") OT::GaussKronrodRule::getOtherGaussNodes
"Accessor to the positive nodes used in the Gauss-Kronrod approximation.

Returns
-------
otherKronrodNodes : :class:`~openturns.NumericalPoint`
    The  positive nodes :math:`(\\\\xi_k)_{1 \\\\leq k \\\\leq n}`
"
// ---------------------------------------------------------------------
%feature("docstring") OT::GaussKronrodRule::getOtherKronrodWeights
"Accessor to the  positive nodes used in the Gauss-Kronrod approximation.

Returns
-------
otherKronrodWeights : :class:`~openturns.NumericalPoint`
    The  weights :math:`(\\\\alpha_k)_{1 \\\\leq k \\\\leq m}`.
"
// ---------------------------------------------------------------------
%feature("docstring") OT::GaussKronrodRule::getOtherKronrodNodes
"Accessor to the positive nodes used in the Gauss-Kronrod approximation.

Returns
-------
otherKronrodNodes : :class:`~openturns.NumericalPoint`
    The  positive nodes :math:`(\\\\zeta_k)_{1 \\\\leq k \\\\leq m}`
    It contains the positive Gauss nodes as we have :math:`\\\\zeta_{2j}=\\\\xi_j`.
"
// ---------------------------------------------------------------------
%feature("docstring") OT::GaussKronrodRule::getZeroGaussWeight
"Accessor to the first Gauss weight.

Returns
-------
zeroKronrodWeight : float
    The  first weight :math:`\\\\omega_0`.
"
// ---------------------------------------------------------------------
%feature("docstring") OT::GaussKronrodRule::getZeroKronrodWeight
"Accessor to the first Kronrod weight.

Returns
-------
zeroKronrodWeight : float
    The  first weight :math:`\\\\alpha_0`.
"