Metadata-Version: 1.1
Name: linop
Version: 0.8
Summary: A pythonic abstraction for linear mathematical operators
Home-page: https://github.com/ghisvail/linop
Author: Ghislain Vaillant
Author-email: ghisvail@gmail.com
License: License :: OSI Approved :: BSD License
Description: =====
        linop
        =====
        
        linop: a Pythonic abstraction for linear mathematical operators
        
        A friendy fork from the linop module of the 
        [pykrylov](https://github.com/dpo/pykrylov) package, developped by 
        Dominique Orban <dominique.orban@gmail.com>.
        
        This project means to provde a standalone set of classes to abstract the 
        creation and management of linear operators, to be used as a common basis for 
        the development of advanced mathematical frameworks.
        
        
        Requirements
        ============
        
        * [Python](http://www.python.org>) 2 (>=2.6) or 3 (>=3.2)
        * [NumPy](http://www.scipy.org/NumPy)
        
        
        Installation
        ============
        
        Using pip / easy_install (recommended):
            
            pip install linop
        
        From the cloned sources:
        
            python setup.py install
        
        
        Documentation
        =============
        
        The package documentation can be found 
        [here](http://pythonhosted.org/linop/). The documentation can be built 
        using Sphinx. From the root of the source directory, do:
        
            python setup.py build_sphinx
        
        The html documentation will be available in doc/build/html.
        
        
        Changelog
        =========
        
        See the [CHANGELOG](./CHANGELOG) file.
        
        
        Contributing
        ============
        
        The code source is released under a free software license. Anyone is welcome 
        to contribute to the improvement of the existing code base, ideally by filing 
        an issue to the bug tracker, cloning the repository and submitting a pull 
        request.
        
        The test suite uses [nose](http://nose.readthedocs.org/) and can be run with:
        
            python setup.py test
            
        A list of contributors will be updated in the [AUTHORS](./AUTHORS) file.
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
