Metadata-Version: 1.1
Name: discretize
Version: 0.3.7
Summary: Discretization tools for finite volume and inverse problems
Home-page: http://simpeg.xyz/
Author: Rowan Cockett
Author-email: rowanc1@gmail.com
License: MIT
Download-URL: http://github.com/simpeg/discretize
Description: discretize
        ==========
        
        .. image:: https://img.shields.io/pypi/v/discretize.svg
            :target: https://pypi.python.org/pypi/discretize
            :alt: Latest PyPI version
        
        .. image:: https://img.shields.io/github/license/simpeg/simpeg.svg
            :target: https://github.com/simpeg/discretize/blob/master/LICENSE
            :alt: MIT license
        
        .. image:: https://api.travis-ci.org/simpeg/discretize.svg?branch=master
            :target: https://travis-ci.org/simpeg/discretize
            :alt: Travis CI build status
        
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            :target: https://codecov.io/gh/simpeg/discretize
            :alt: Coverage status
        
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            :alt: codacy status
        
        .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.596411.svg
           :target: https://doi.org/10.5281/zenodo.596411
        
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            :target: http://slack.simpeg.xyz
        
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            :target: https://groups.google.com/forum/#!forum/simpeg
            
        
        **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)
        
        Installing
        ----------
        
        **discretize** is on pypi
        
        .. code::
        
            pip install discretize
            
        To install from source
        
        .. code:: 
        
            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:**
        
        .. code::
        
            @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:
        https://groups.google.com/forum/#!forum/simpeg
        
        Chat:
        http://slack.simpeg.xyz/
        
        
Keywords: finite volume,discretization,pde,ode
Platform: Windows
Platform: Linux
Platform: Solaris
Platform: Mac OS-X
Platform: Unix
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Natural Language :: English
