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minimize(fun, x0, args=(), method=None, jac=None, hess=None, hessp=None, bounds=None, constraints=(), tol=None, callback=None, options=None)

Notes

Parameters

fun : callable
x0 : ndarray, shape (n,)
args : tuple, optional
method : str or callable, optional
jac : {callable, '2-point', '3-point', 'cs', bool}, optional
hess : {callable, '2-point', '3-point', 'cs', HessianUpdateStrategy}, optional
hessp : callable, optional
bounds : sequence or `Bounds`, optional
constraints : {Constraint, dict} or List of {Constraint, dict}, optional
tol : float, optional
options : dict, optional
callback : callable, optional

Returns

res : OptimizeResult

Examples

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

scipy.optimize._differentialevolution:differential_evolution scipy.optimize._lbfgsb_py:fmin_l_bfgs_b scipy.optimize._optimize:show_options scipy.optimize._differentialevolution:DifferentialEvolutionSolver scipy.optimize._lbfgsb_py:_minimize_lbfgsb scipy.optimize._basinhopping:basinhopping

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