^Mh 0ddlmZddlmZdgZ ddZdS) )_minimize_trust_region)get_trlib_quadratic_subproblem_minimize_trust_krylovNTc 0|tdd||td|r8t||f||||tdd|dd d |St||f||||td d |dd d |S) a 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. Nz&Jacobian is required for trust region zexact minimization.zaEither the Hessian or the Hessian-vector product is required for Krylov trust-region minimizationggdispF) tol_rel_i tol_rel_br)argsjachesshessp subproblemg:0yE>gư>) ValueErrorrrget)funx0r r r rinexacttrust_region_optionss b/var/www/html/test/jupyter/venv/lib/python3.11/site-packages/scipy/optimize/_trustregion_krylov.pyrrs   {A.00 0 | LMM M0>%c2>Dc+/u1O48D/C/G/GPU/V/V2,2,2,>> )= >> >&c2>Dc+/u1O48D/C/G/GPU/V/V2,2,2,>> )= >> >)rNNNT) _trustregionr_trlibr__all__rrrrrsU222222444444 # $HL#';>;>;>;>;>;>r