DIRECT_L_RAND¶

class DIRECT_L_RAND(max_evals=1000)[código fonte]¶

Bases: NLoptOptimizer

DIviding RECTangles Locally-biased Randomized optimizer.

DIRECT-L RAND is the «locally biased» variant with some randomization in near-tie decisions. See also DIRECT_L

NLopt global optimizer, derivative-free. For further detail, please refer to http://nlopt.readthedocs.io/en/latest/NLopt_Algorithms/#direct-and-direct-l

Parâmetros: max_evals (int) – Maximum allowed number of function evaluations.
Levanta: MissingOptionalLibraryError – NLopt library not installed.

Methods

`get_nlopt_optimizer`	Return NLopt optimizer type
`get_support_level`	return support level dictionary
`gradient_num_diff`	We compute the gradient with the numeric differentiation in the parallel way, around the point x_center.
`minimize`	Minimize the scalar function.
`print_options`	Print algorithm-specific options.
`set_max_evals_grouped`	Set max evals grouped
`set_options`	Sets or updates values in the options dictionary.
`wrap_function`	Wrap the function to implicitly inject the args at the call of the function.

Attributes