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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 | %feature("docstring") OT::Cobyla
"Constrained Optimization BY Linear Approximations solver.
Available constructors:
Cobyla(*problem*)
Cobyla(*problem, rhoBeg*)
Parameters
----------
problem : :class:`~openturns.OptimizationProblem`
Optimization problem to solve.
rhoBeg : float
A reasonable initial change to the variables.
Notes
-----
It constructs successive linear approximations of the objective function and
constraints via a simplex of :math:`d+1` points, and optimizes these
approximations in a trust region at each step.
See also
--------
AbdoRackwitz, SQP, TNC
Examples
--------
>>> import openturns as ot
>>> model = ot.NumericalMathFunction(['E', 'F', 'L', 'I'], ['d'], ['-F*L^3/(3*E*I)'])
>>> problem = ot.OptimizationProblem(model, 5.0)
>>> algo = ot.Cobyla(problem)"
// ---------------------------------------------------------------------
%feature("docstring") OT::Cobyla::getRhoBeg
"Accessor to rhoBeg parameter.
Returns
-------
rhoBeg : float
A reasonable initial change to the variables."
// ---------------------------------------------------------------------
%feature("docstring") OT::Cobyla::setRhoBeg
"Accessor to rhoBeg parameter.
Parameters
----------
rhoBeg : float
A reasonable initial change to the variables."
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