Return object

class DyCors.result.ResultDyCors(fun, jac, nfev, njev, nit, status, message, x, success, m=None, hist=None, dhist=None, xres=None, fres=None, gres=None, restart_its=None)

Represents the optimization result.

Inherits from scipy.optimize.OptimizeResult.

Attributes

xndarray

The solution of the optimization.

successbool

Whether or not the optimizer exited successfully.

statusint

Termination status of the optimizer. Refer to message for details.

messagestr

Description of the cause of the termination.

fun, jacndarray

Values of objective function and its Jacobian.

nfev, njevint

Number of evaluations of the objective functions and of its Jacobian.

nitint

Number of restarts performed by DyCors.

mint, optional

Number of initial sampling points

histndarray, optional

Values of objective function at all iterations.

dhistndarray, optional

Values of gradient at all iterations.

xresndarray, optional

Array with all the points evaluated by the optimization algorithm.

fresndarray, optional

Array with the values of the objective function at all points that have been evaluated.

gresndarray, optional

Array with the values of the gradient of the objective function at all points that have been evaluated.

restart_itslist, optional

List with iterations at which the optimization algorithm has been restarted

plot(figsize=(), ylim_f=(), ylim_df=(), fontsize=10)

Plot evolution of minimum value and norm of the gradient if used.

Parameters

figsizetuple, optional

Size of the figure.

ylim_ftuple, optional

y limits on the function history.

ylim_dftuple, optional

y limits on the function history.

fontsizeint, optional

Font size.