astropy:docs

SLSQPFitter

class astropy.modeling.fitting.SLSQPFitter[source] [edit on github]

Bases: astropy.modeling.fitting.Fitter

Sequential Least Squares Programming optimization algorithm.

The algorithm is described in [R3]. It supports tied and fixed parameters, as well as bounded constraints. Uses scipy.optimize.fmin_slsqp.

Raises :

ModelLinearityError :

A linear model is passed to a nonlinear fitter

References

[R3](1, 2) http://www.netlib.org/toms/733

Attributes Summary

supported_constraints list() -> new empty list

Methods Summary

errorfunc(fps, *args) Compute the sum of the squared residuals

Attributes Documentation

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

Methods Documentation

errorfunc(fps, *args)[source] [edit on github]

Compute the sum of the squared residuals

Parameters :

fps : list

parameters returned by the fitter

args : list

input coordinates

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