| Name | discretize JSON |
| Version |
0.12.0
JSON |
| download |
| home_page | None |
| Summary | Discretization tools for finite volume and inverse problems |
| upload_time | 2025-10-09 03:56:50 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.11 |
| license | The MIT License (MIT)
Copyright (c) 2013-2025 SimPEG Developers
Permission is hereby granted, free of charge, to any person obtaining a copy of
this software and associated documentation files (the "Software"), to deal in
the Software without restriction, including without limitation the rights to
use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
the Software, and to permit persons to whom the Software is furnished to do so,
subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
|
| keywords |
finite volume
discretization
pde
ode
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
.. 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://dev.azure.com/simpeg/discretize/_build
Bugs & Issues:
https://github.com/simpeg/discretize/issues
Questions:
http://simpeg.discourse.group/
Chat:
https://mattermost.softwareunderground.org/simpeg
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