This is documentation for an old release of SciPy (version 0.19.1). Read this page in the documentation of the latest stable release (version 1.14.1).
minimize(method=’SLSQP’)¶
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scipy.optimize.
minimize
(fun, x0, args=(), method='SLSQP', jac=None, bounds=None, constraints=(), tol=None, callback=None, options={'disp': False, 'iprint': 1, 'eps': 1.4901161193847656e-08, 'func': None, 'maxiter': 100, 'ftol': 1e-06}) Minimize a scalar function of one or more variables using Sequential Least SQuares Programming (SLSQP).
See also
For documentation for the rest of the parameters, see
scipy.optimize.minimize
Options: ftol : float
Precision goal for the value of f in the stopping criterion.
eps : float
Step size used for numerical approximation of the jacobian.
disp : bool
Set to True to print convergence messages. If False, verbosity is ignored and set to 0.
maxiter : int
Maximum number of iterations.