SLSQP

class astropy.modeling.optimizers.SLSQP

Bases: astropy.modeling.optimizers.Optimization

Sequential Least Squares Programming optimization algorithm.

The algorithm is described in [R16]. It supports tied and fixed parameters, as well as bounded constraints. Uses scipy.optimize.fmin_slsqp.

References

[R16]

(1, 2) http://www.netlib.org/toms/733

Attributes Summary

supported_constraints

Methods Summary

__call__(objfunc, initval, fargs, \*\*kwargs)

Run the solver.

Attributes Documentation

supported_constraints = [u'bounds', u'eqcons', u'ineqcons', u'fixed', u'tied']

Methods Documentation

__call__(objfunc, initval, fargs, **kwargs)

Run the solver.

Parameters:

objfunc : callable

objection function

initval : iterable

initial guess for the parameter values

fargs : tuple

other arguments to be passed to the statistic function

kwargs : dict

other keyword arguments to be passed to the solver