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discretize

Discretization tools for finite volume and inverse problems

  • 0.11.1
  • PyPI
  • Socket score

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.. image:: https://raw.github.com/simpeg/discretize/main/docs/images/discretize-logo.png :alt: Discretize Logo

discretize

.. image:: https://img.shields.io/pypi/v/discretize.svg :target: https://pypi.python.org/pypi/discretize :alt: Latest PyPI version

.. image:: https://anaconda.org/conda-forge/discretize/badges/version.svg :target: https://anaconda.org/conda-forge/discretize :alt: Latest conda-forge version

.. image:: https://img.shields.io/github/license/simpeg/simpeg.svg :target: https://github.com/simpeg/discretize/blob/main/LICENSE :alt: MIT license

.. image:: https://dev.azure.com/simpeg/discretize/_apis/build/status/simpeg.discretize?branchName=main :target: https://dev.azure.com/simpeg/discretize/_build/latest?definitionId=1&branchName=main :alt: Azure pipelines build status

.. image:: https://codecov.io/gh/simpeg/discretize/branch/main/graph/badge.svg :target: https://codecov.io/gh/simpeg/discretize :alt: Coverage status

.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.596411.svg :target: https://doi.org/10.5281/zenodo.596411

.. image:: https://img.shields.io/discourse/users?server=http%3A%2F%2Fsimpeg.discourse.group%2F :target: http://simpeg.discourse.group/

.. image:: https://img.shields.io/badge/simpeg-purple?logo=mattermost&label=Mattermost :target: https://mattermost.softwareunderground.org/simpeg

.. image:: https://img.shields.io/badge/Youtube%20channel-GeoSci.xyz-FF0000.svg?logo=youtube :target: https://www.youtube.com/channel/UCBrC4M8_S4GXhyHht7FyQqw

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

.. image:: https://raw.githubusercontent.com/simpeg/figures/master/finitevolume/cell-anatomy-tensor.png

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)
  • Triangular (2D) and Tetrahedral (3D) Meshes

Installing ^^^^^^^^^^ discretize is on conda-forge, and is the recommended installation method.

.. code:: shell

conda install -c conda-forge discretize

Prebuilt wheels of discretize are on pypi for most platforms

.. code:: shell

pip install discretize

To install from source, note this requires a c++ compiler supporting the c++17 standard.

.. code:: shell

git clone https://github.com/simpeg/discretize.git
cd discretize
pip 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:

.. code:: Latex

@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: https://mattermost.softwareunderground.org/simpeg

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