SLSQP¶
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class
astropy.modeling.optimizers.SLSQP[source] [edit on github]¶ Bases:
astropy.modeling.optimizers.OptimizationSequential 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] (1, 2) http://www.netlib.org/toms/733 Attributes Summary
supported_constraintsMethods Summary
__call__(objfunc, initval, fargs, **kwargs)Run the solver. Attributes Documentation
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supported_constraints= ['bounds', 'eqcons', 'ineqcons', 'fixed', 'tied']¶
Methods Documentation
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__call__(objfunc, initval, fargs, **kwargs)[source] [edit on github]¶ 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
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