`scipy.optimize._numdiff:_compute_absolute_step`

source: build-install/usr/lib/python3.14/site-packages/scipy/optimize/_numdiff.py:147

Signature

def _compute_absolute_step(rel_step, x0, f0, method)

Summary

Computes an absolute step from a relative step for finite difference calculation.

Parameters

rel_step: None or array-like: Relative step for the finite difference calculation
x0 : np.ndarray: Parameter vector
f0 : np.ndarray or scalar
method : {'2-point', '3-point', 'cs'}

Returns

h : np.array: The absolute step size, h.dtype==x0.dtype.

Notes

h has the same dtype as x0 because dx is later calculated as (x0 + h) - x0, and problems would occur if x0.dtype==np.float16 with h.dtype==np.float64. If rel_step is None, then a default relative step is calculated using the smallest floating point type of x0 and f0, see _eps_for_method.

Aliases

scipy.optimize._numdiff._compute_absolute_step