@@ -1,6 +1,6 @@

 # ![][logo] adaptive

-[![pipeline status](https://gitlab.kwant-project.org/qt/adaptive/badges/master/pipeline.svg)](https://gitlab.kwant-project.org/qt/adaptive/commits/master)

+[![pipeline status](https://gitlab.kwant-project.org/qt/adaptive/badges/master/pipeline.svg)](https://gitlab.kwant-project.org/qt/adaptive/pipelines)

 [![asv](http://img.shields.io/badge/benchmarked%20by-asv-green.svg?style=flat)](benchmarks)

 [![coverage report](https://gitlab.kwant-project.org/qt/adaptive/badges/master/coverage.svg)](https://gitlab.kwant-project.org/qt/adaptive/commits/master)

@@ -33,6 +33,12 @@ git config filter.nbclearoutput.clean "jupyter nbconvert --to notebook --ClearOu

 in the repository.

+## Credits

+We would like to give credits to the following people:

+- Pedro Gonnet for his implementation of [`CQUAD`](https://cran.r-project.org/web/packages/cquad/index.html), "Algorithm 3" as described in "Increasing the Reliability of Adaptive Quadrature Using Explicit Interpolants", P. Gonnet, ACM Transactions on Mathematical Software, 37 (3), art. no. 26, 2010.

+- Christoph Groth for his Python implementation of [`CQUAD`](https://gitlab.kwant-project.org/cwg/python-cquad) which served as inspiration for the [`IntegratorLearner`](adaptive/learner/integrator_learner.py)

+- Pauli Virtanen for his `AdaptiveTriSampling` (no longer available online since SciPy Central went down) script which served as inspiration for the [`Learner2D`](adaptive/learner/learner2D.py)

+

 For general discussion, we have a [chat channel](https://chat.quantumtinkerer.tudelft.nl/external/channels/adaptive). If you find any bugs or have any feature suggestions please file a GitLab [issue](https://gitlab.kwant-project.org/qt/adaptive/issues/new?issue) or submit a [merge request](https://gitlab.kwant-project.org/qt/adaptive/merge_requests).

 [logo]: /uploads/d20444093920a4a0499e165b5061d952/logo.png "adaptive logo"