leonfoks/discretize

Discretization tools for finite volume and inverse problems.

discretize

discretize - A python package for finite volume discretization.

The vision is to create a package for finite volume simulation with a focus on large scale inverse problems. This package has the following features:

• modular with respect to the spacial discretization
• built with the inverse problem in mind
• supports 1D, 2D and 3D problems
• access to sparse matrix operators
• access to derivatives to mesh variables

Currently, discretize supports:

• Tensor Meshes (1D, 2D and 3D)
• Cylindrically Symmetric Meshes
• QuadTree and OcTree Meshes (2D and 3D)
• Logically Rectangular Meshes (2D and 3D)

Installing

discretize is on conda-forge

conda install -c conda-forge discretize

discretize is on pypi

pip install discretize

To install from source

git clone https://github.com/simpeg/discretize.git
python setup.py install

Citing discretize

Please cite the SimPEG paper when using discretize in your work:

Cockett, R., Kang, S., Heagy, L. J., Pidlisecky, A., & Oldenburg, D. W. (2015). SimPEG: An open source framework for simulation and gradient based parameter estimation in geophysical applications. Computers & Geosciences.

BibTex:

@article{cockett2015simpeg,
  title={SimPEG: An open source framework for simulation and gradient based parameter estimation in geophysical applications},
  author={Cockett, Rowan and Kang, Seogi and Heagy, Lindsey J and Pidlisecky, Adam and Oldenburg, Douglas W},
  journal={Computers \& Geosciences},
  year={2015},
  publisher={Elsevier}
}

Links

Website: http://simpeg.xyz

Documentation: http://discretize.simpeg.xyz

Code: https://github.com/simpeg/discretize

Tests: https://travis-ci.org/simpeg/discretize

Bugs & Issues: https://github.com/simpeg/discretize/issues

Questions: http://simpeg.discourse.group/

Chat: http://slack.simpeg.xyz/