-
iwopy.optimizers.GG(problem, step_max, step_min, step_div_factor=
10.0
, f_tol=1e-08
, vectorized=True
, n_max_steps=100
, memory_size=100
, name='GG'
)[source] Constructor
ParametersΒΆ
- problem: iwopy.Problem
The problem to optimize
- step_max: float or list or dict
The maximal steps. Either uniform float value or list of floats for each problem variable, or dict with entry for each variable
- step_min: float or list or dict
The minimal steps. Either uniform float value or list of floats for each problem variable, or dict with entry for each variable
- step_div_factor: float
Step size division factor until step_min is reached
- f_tol: float
The objective function tolerance
- vectorized: bool
Flag for running in vectorized mode
- n_max_steps: int
The maximal number of steps without fresh gradient
- memory_size: int
The number of memorized visited points
- name: str, optional
The name