_minimize_cobyla(fun, x0, args=(), constraints=(), rhobeg=1.0, tol=0.0001, maxiter=1000, disp=False, catol=0.0002, callback=None, **unknown_options)
Reasonable initial changes to the variables.
Final accuracy in the optimization (not precisely guaranteed). This is a lower bound on the size of the trust region.
Set to True to print convergence messages. If False, :None:None:`verbosity` is ignored as set to 0.
Maximum number of function evaluations.
Tolerance (absolute) for constraint violations
Called after each iteration, as callback(x)
, where x
is the current parameter vector.
Minimize a scalar function of one or more variables using the Constrained Optimization BY Linear Approximation (COBYLA) algorithm.
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