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Represents the optimization result.
Attributes
----------
x : ndarray
The solution of the optimization.
success : bool
Whether or not the optimizer exited successfully.
status : int
Termination status of the optimizer. Its value depends on the
underlying solver. Refer to `message` for details.
message : str
Description of the cause of the termination.
fun : float
Value of objective function at `x`.
jac, hess : ndarray
Values of objective function's Jacobian and its Hessian at `x` (if
available). The Hessian may be an approximation, see the documentation
of the function in question.
hess_inv : object
Inverse of the objective function's Hessian; may be an approximation.
Not available for all solvers. The type of this attribute may be
either np.ndarray or scipy.sparse.linalg.LinearOperator.
nfev, njev, nhev : int
Number of evaluations of the objective functions and of its
Jacobian and Hessian.
nit : int
Number of iterations performed by the optimizer.
maxcv : float
The maximum constraint violation.
Notes
-----
Depending on the specific solver being used, `OptimizeResult` may
not have all attributes listed here, and they may have additional
attributes not listed here. Since this class is essentially a
subclass of dict with attribute accessors, one can see which
attributes are available using the `OptimizeResult.keys` method.
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