Tutorial AdaptiveΒΆ
Adaptive is a package for adaptively sampling functions with support for parallel evaluation.
This is an introductory notebook that shows some basic use cases.
adaptive
needs at least Python 3.6, and the following packages:
scipy
sortedcontainers
Additionally adaptive
has lots of extra functionality that makes it
simple to use from Jupyter notebooks. This extra functionality depends
on the following packages
ipykernel>=4.8.0
jupyter_client>=5.2.2
holoviews
bokeh
ipywidgets
We recommend to start with the Tutorial Learner1D.
Note
Because this documentation consists of static html, the live_plot
and live_info
widget is not live. Download the notebooks
in order to see the real behaviour.