SLSQP

class astropy.modeling.optimizers.SLSQP

Bases: Optimization

Sequential Least Squares Programming optimization algorithm.

The algorithm is described in [1]. It supports tied and fixed parameters, as well as bounded constraints. Uses scipy.optimize.fmin_slsqp.

References

[1]

http://www.netlib.org/toms/733

Attributes Summary

supported_constraints

Methods Summary

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

Run the solver.

Attributes Documentation

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

Methods Documentation

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

Run the solver.

Parameters:

objfuncpython:callable()

objection function

initvalpython:iterable

initial guess for the parameter values

fargspython:tuple

other arguments to be passed to the statistic function

kwargspython:dict

other keyword arguments to be passed to the solver