Sherpa
4.13.1
Introduction
Installation
A quick guide to modeling and fitting in Sherpa
Sherpa and CIAO
User Documentation
What data is to be fit?
Creating model instances
Evaluating a model
Available Models
What statistic is to be used?
Optimisers: How to improve the current parameter values
Choosing an optimiser
Summary and best-buy strategies
Reference/API
The sherpa.optmethods module
The sherpa.optmethods.optfcts module
difevo
difevo_lm
difevo_nm
grid_search
lmdif
minim
montecarlo
neldermead
Fitting the data
Visualisation
Markov Chain Monte Carlo and Poisson data
Utility routines
Worked Examples
Simple Interpolation
Comparing Gaussian, Lorentzian, and Voigt 1D models
Simple user model
An interactive application
Using Sessions to manage models and data
Notebooks
Sherpa Quick Start
Notebook support in Sherpa
A sample of plots
Getting Help
Bug Reports
Contributing to Sherpa development
Indices and tables
Sherpa
Docs
»
Optimisers: How to improve the current parameter values
»
The sherpa.optmethods.optfcts module
»
difevo_nm
Edit on GitHub
difevo_nm
¶
sherpa.optmethods.optfcts.
difevo_nm
(
fcn
,
x0
,
xmin
,
xmax
,
ftol
,
maxfev
,
verbose
,
seed
,
population_size
,
xprob
,
weighting_factor
)
[source]
[edit
on
github]
¶
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