numdifftools.core.MinStepGenerator¶
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class
numdifftools.core.
MinStepGenerator
(base_step=None, step_ratio=2, num_steps=None, offset=0, scale=None, num_extrap=0, use_exact_steps=True, check_num_steps=True)[source][source]¶ Generates a sequence of steps
where steps = base_step * step_ratio ** (np.arange(num_steps) + offset)
Parameters: base_step : float, array-like, optional
Defines the base step, if None, then base_step is set to EPS**(1/scale)*max(log(1+|x|), 1) where x is supplied at runtime through the __call__ method.
step_ratio : real scalar, optional, default 2
Ratio between sequential steps generated. Note: Ratio > 1 If None then step_ratio is 2 for n=1 otherwise step_ratio is 1.6
num_steps : scalar integer, optional, default n + order - 1 + num_extrap
defines number of steps generated. It should be larger than n + order - 1
offset : real scalar, optional, default 0
offset to the base step
scale : real scalar, optional
scale used in base step. If not None it will override the default computed with the default_scale function.
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__init__
(base_step=None, step_ratio=2, num_steps=None, offset=0, scale=None, num_extrap=0, use_exact_steps=True, check_num_steps=True)[source][source]¶
Methods
__init__
([base_step, step_ratio, num_steps, ...])-