The FEniCS library can be installed in different ways (from source, on Docker, Ubuntu, Anaconda). We suggest to install it via Anaconda.
FEniCS-2019.1.0 can be installed on Anaconda by following the instructions on the fenicsproject website (https://fenicsproject.org/download/). To install FEniCS via Anaconda run following command on the terminal:
conda create -n fenicsproject -c conda-forge fenics numpy matplotlib scipy jupyter
which will create an environment called fenicsproject, containing fenics, numpy, matplotlib, scipy, and jupyter.
The hIPPYlib-3.0.0 library depends on FEniCS version 2019.1. FEniCS needs to be built with the following dependecies enabled:
- numpy, scipy, matplotlib, mpi4py;
- PETSc and petsc4py (version 3.10.0 or above);
- SLEPc and slepc4py (version 3.10.0 or above);
- PETSc dependencies: parmetis, scotch, suitesparse, superlu_dist, ml, hypre;
- (optional): mshr, jupyter.
It can be downloaded from the hIPPYlib website, or installed (https://hippylib.readthedocs.io/en/3.0.0/installation.html) directly in the FEniCS Anaconda
environment using pip. With the supported version of FEniCS and its dependencies installed on your machine, hIPPYlib can be installed via pip as follows:
pip install hippylib --user
Otherwise, to pip install the development version of hIPPYlib from the GitHub master branch use the command:
pip install -e git+https://github.com/hippylib/hippylib.git@master#egg=hippylib
Finally, to activate the FEniCS-hIPPYlib environment, type the following command on your terminal:
conda activate fenicsproject
After the environment has been activated, we can start working with the notebook. Navigate to the directory containing the notebook and run the command:
jupyter notebook
You will see a page in your web browser with the list of available .ipynb files.