Gridap tutorials

Start solving PDEs in Julia

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What

This repo contains a set of tutorials to learn how to solve partial differential equations (PDEs) in Julia with the Gridap.jl library.

The tutorials are available in two formats:

• As jupyter notebooks, allowing an interactive learning experience. This is the recommended way to follow the tutorials

• As HTML pages, allowing a rapid access into the material without the need of any setup.

How

Visit one of the following pages, depending of your needs, and start enjoying!

• STABLE — Tutorials for the most recently tagged version of Gridap.jl.
• DEVEL — Tutorials for the in-development version of Gridap.jl.

Gridap community

Join to our gitter chat to ask questions and interact with the Gridap community.

How to cite Gridap

In order to give credit to the Gridap contributors, we simply ask you to cite the refence below in any publication in which you have made use of Gridap packages:

@article{Badia2020,
  doi = {10.21105/joss.02520},
  url = {https://doi.org/10.21105/joss.02520},
  year = {2020},
  publisher = {The Open Journal},
  volume = {5},
  number = {52},
  pages = {2520},
  author = {Santiago Badia and Francesc Verdugo},
  title = {Gridap: An extensible Finite Element toolbox in Julia},
  journal = {Journal of Open Source Software}
}

Contact

Please, contact the project administrators, Santiago Badia and Francesc Verdugo, for further questions about licenses and terms of use.