| kernelspec |
|
||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| jupytext |
|
Adaptive is a package for adaptively sampling functions with support for parallel evaluation.
This is an introductory notebook that shows some basic use cases.
We recommend to start with the {ref}adaptive.Learner1D tutorial<TutorialLearner1D>.
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.
:hidden: true
tutorial.Learner1D
tutorial.Learner2D
tutorial.custom_loss
tutorial.AverageLearner
tutorial.BalancingLearner
tutorial.DataSaver
tutorial.IntegratorLearner
tutorial.LearnerND
tutorial.AverageLearner1D
tutorial.SequenceLearner
tutorial.parallelism
tutorial.advanced-topics