%feature("docstring") OT::AbdoRackwitz
"Abdo-Rackwitz solver.

Available constructors:
    AbdoRackwitz(*problem*)

    AbdoRackwitz(*problem, tau, omega, smooth*)

Parameters
----------
problem : :class:`~openturns.OptimizationProblem`
    Optimization problem to solve.
tau : float
    Multiplicative decrease of linear step.
omega : float
    Armijo factor.
smooth : float
    Growing factor in penalization term.

See also
--------
Cobyla, SQP, TNC, NLopt

Examples
--------
>>> import openturns as ot
>>> model = ot.SymbolicFunction(['E', 'F', 'L', 'I'], ['-F*L^3/(3*E*I)'])
>>> problem = ot.OptimizationProblem(model, 5.0)
>>> algo = ot.AbdoRackwitz(problem)
>>> algo.setStartingPoint([0.0] * 4)
>>> algo.run()
>>> result = algo.getResult()"

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%feature("docstring") OT::AbdoRackwitz::getTau
"Accessor to tau parameter.

Returns
-------
tau : float
    Multiplicative decrease of linear step."

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%feature("docstring") OT::AbdoRackwitz::setTau
"Accessor to tau parameter.

Parameters
----------
tau : float
    Multiplicative decrease of linear step."

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%feature("docstring") OT::AbdoRackwitz::getOmega
"Accessor to omega parameter.

Returns
-------
omega : float
    Armijo factor."

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%feature("docstring") OT::AbdoRackwitz::setOmega
"Accessor to omega parameter.

Parameters
----------
omega : float
    Armijo factor."

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%feature("docstring") OT::AbdoRackwitz::getSmooth
"Accessor to smooth parameter.

Returns
-------
smooth : float
    Growing factor in penalization term."

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%feature("docstring") OT::AbdoRackwitz::setSmooth
"Accessor to smooth parameter.

Parameters
----------
smooth : float
    Growing factor in penalization term."

