+
    /i                     .    ^RI Ht ^RIHt R.tRR ltR# )   )_minimize_trust_region)get_trlib_quadratic_subproblem_minimize_trust_krylovNc                    Vf   \        RR4      hVf   Vf   \        R4      hV'       d3   \        W3RVRVRVRVR\        RRVP                  R	R
4      R7      /VB # \        W3RVRVRVRVR\        RRVP                  R	R
4      R7      /VB # )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.
z&Jacobian is required for trust region zexact minimization.zaEither the Hessian or the Hessian-vector product is required for Krylov trust-region minimizationargsjachesshessp
subproblemdispF)	tol_rel_i	tol_rel_br   g:0yE>gư>g       g      )
ValueErrorr   r   get)funx0r   r   r	   r
   inexacttrust_region_optionss   &&&&&&&,`/var/www/html/photoedit/myenv/lib/python3.14/site-packages/scipy/optimize/_trustregion_krylov.pyr   r      s      {A.0 	0| L M 	M0 %c >D >c >+/>7<>1O48D/C/G/GPU/V2,> )=> 	> &c >D >c >+/>7<>1O48D/C/G/GPU/V2,> )=> 	>    ) NNNT)_trustregionr   _trlibr   __all__r   r   r   r   <module>r      s    2 4#
$;>r   