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2.6 KiB
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87 lines
2.6 KiB
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.. image:: https://raw.github.com/simpeg/simpeg/master/docs/simpeg-logo.png
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:alt: SimPEG Logo
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======
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SimPEG
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======
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.. image:: https://img.shields.io/pypi/v/SimPEG.svg
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:target: https://crate.io/packages/SimPEG/
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:alt: Latest PyPI version
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.. image:: https://img.shields.io/pypi/dm/SimPEG.svg
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:target: https://crate.io/packages/SimPEG/
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:alt: Number of PyPI downloads
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.. image:: https://img.shields.io/badge/license-MIT-blue.svg
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:target: https://github.com/simpeg/simpeg/blob/master/LICENSE
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:alt: BSD 3 clause license.
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.. image:: https://api.travis-ci.org/simpeg/simpeg.svg?branch=master
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:target: https://travis-ci.org/simpeg/simpeg
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:alt: Travis CI build status
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.. image:: https://img.shields.io/coveralls/simpeg/simpeg.svg
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:target: https://coveralls.io/r/simpeg/simpeg?branch=master
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:alt: Coverage status
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.. image:: http://img.shields.io/badge/GITTER-JOIN_CHAT-brightgreen.svg?style=flat-square
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:alt: gitter chat room at https://gitter.im/simpeg/simpeg
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:target: https://gitter.im/simpeg/simpeg
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Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.
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The vision is to create a package for finite volume simulation with applications to geophysical imaging and subsurface flow. To enable the understanding of the many different components, this package has the following features:
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* modular with respect to the spacial discretization, optimization routine, and geophysical problem
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* built with the inverse problem in mind
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* provides a framework for geophysical and hydrogeologic problems
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* supports 1D, 2D and 3D problems
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* designed for large-scale inversions
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Citing SimPEG:
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--------------
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There is a paper about SimPEG!
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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.
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**BibTex:**
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.. code::
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@article{cockett2015simpeg,
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title={SimPEG: An open source framework for simulation and gradient based parameter estimation in geophysical applications},
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author={Cockett, Rowan and Kang, Seogi and Heagy, Lindsey J and Pidlisecky, Adam and Oldenburg, Douglas W},
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journal={Computers \& Geosciences},
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year={2015},
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publisher={Elsevier}
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}
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Website:
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http://simpeg.xyz
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Documentation:
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http://docs.simpeg.xyz
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Code:
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https://github.com/simpeg/simpeg
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Tests:
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https://travis-ci.org/simpeg/simpeg
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Bugs & Issues:
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https://github.com/simpeg/simpeg/issues
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Code Snippets & Tutorials:
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http://simpeg.xyz/Journal
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