General functions#
General functions that are not specialised for fitting, optimisation, sensitivity analysis, etc.
- The current functions are:
curvature - Curvature of a function f: f’’/(1+f’^2)^3/2
This module was written by Matthias Cuntz while at Department of Computational Hydrosystems, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany, and continued while at Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Nancy, France.
- copyright:
Copyright 2015-2022 Matthias Cuntz, see AUTHORS.rst for details.
- license:
MIT License, see LICENSE for details.
Functions:
|
Curvature of a function f |
- History
Written Mar 2015 by Matthias Cuntz (mc (at) macu (dot) de)
Changed to Sphinx docstring and numpydoc, Dec 2019, Matthias Cuntz
Split logistic and curvature into separate files, May 2020, Matthias Cuntz
More consistent docstrings, Jan 2022, Matthias Cuntz
- curvature(x, dfunc, d2func, *args, **kwargs)[source]#
Curvature of a function f
\[f''/(1+f'^2)^{3/2}\]- Parameters:
x (array_like) – Independent variable to evalute curvature
dfunc (callable) – Function giving first derivative of function f: f’, to be called dfunc(x, *args, **kwargs)
d2func (callable) – Function giving second derivative of function f: f’’, to be called d2func(x, *args, **kwargs)
args (iterable) – Arguments passed to dfunc and d2func
kwargs (dict) – Keyword arguments passed to dfunc and d2func
- Returns:
Curvature of function f at x
- Return type:
float or ndarray
Examples
from pyjams.functions import dlogistic_offset, d2logistic_offset curvature(1., dlogistic_offset, d2logistic_offset, [1., 2., 2., 1.])