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bundles / scipy latest / scipy / optimize / _optimize / OptimizeResult

class

scipy.optimize._optimize:OptimizeResult

source: /scipy/optimize/_optimize.py :112

Summary

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.

Aliases

  • scipy.optimize.OptimizeResult

Referenced by

This package