&]\c@sEddlmZddlmZdgZddddedZdS(i(t_minimize_trust_region(tget_trlib_quadratic_subproblemt_minimize_trust_krylovcKs|dkrtddn|dkrE|dkrEtdn|rt||d|d|d|d|dtd d d d d |jd t|St||d|d|d|d|dtd dd dd |jd t|SdS(s Minimization of a scalar function of one or more variables using a nearly exact trust-region algorithm that only requires matrix vector products with the hessian matrix. .. versionadded:: 1.0.0 Options ------- inexact : bool, optional Accuracy to solve subproblems. If True requires less nonlinear iterations, but more vector products. s&Jacobian is required for trust region sexact minimization.saEither the Hessian or the Hessian-vector product is required for Krylov trust-region minimizationtargstjacthessthesspt subproblemt tol_rel_igt tol_rel_bgtdispg:0yE>gư>N(tNonet ValueErrorRRtgettFalse(tfuntx0RRRRtinexactttrust_region_options((sAlib/python2.7/site-packages/scipy/optimize/_trustregion_krylov.pyRs$      N((t _trustregionRt_trlibRt__all__R tTrueR(((sAlib/python2.7/site-packages/scipy/optimize/_trustregion_krylov.pyts