Metadata-Version: 2.1
Name: pyOptimalEstimation
Version: 1.0
Summary: UNKNOWN
Home-page: https://github.com/maahn/pyOptimalEstimation
Author: Maximilian Maahn
Author-email: maximilian.maahn@colorado.edu
License: GNU General Public License 3
Description: [![PyPI version](https://badge.fury.io/py/pyOptimalEstimation.svg)](https://badge.fury.io/py/pyOptimalEstimation)
        [![Documentation Status](https://readthedocs.org/projects/pyoptimalestimation/badge/?version=latest)](https://pyoptimalestimation.readthedocs.io/en/latest/?badge=latest)
        [![Build Status](https://www.travis-ci.org/maahn/pyOptimalEstimation.svg?branch=master)](https://www.travis-ci.org/maahn/pyOptimalEstimation)
        [![Coverage Status](https://coveralls.io/repos/github/maahn/pyOptimalEstimation/badge.svg?branch=master)](https://coveralls.io/github/maahn/pyOptimalEstimation?branch=master)
        
        # "pyOptimalEstimation" Package v1.0
        
        Python package to solve an inverse problem using Optimal Estimation
        and an arbitrary Forward model following Rodgers, 2000.
        
        ## Installation
        
        Change to the folder containing the project and do 
        ```
          python setup.py install
        ```
        in the terminal. If you do not have root privileges, you can also do:
        ```
          python setup.py --user install
        ```
        which will install pyOptimalEstimation in userbase/lib/pythonX.Y/site-packages
        or
        ```
          python setup.py install --home=~
        ```
        which will install pyOptimalEstimation in ~/lib/python.
        
        ## Manual
        
        See https://pyoptimalestimation.readthedocs.io/en/latest/ for documentation.
        
        ## Examples
        
        Annotated example applications are available at https://github.com/maahn/pyOptimalEstimation_examples.
        
        
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Description-Content-Type: text/markdown
