Metadata-Version: 2.1
Name: PyGT
Version: 0.2.0
Summary: Numerically stable analysis of metastable Markov chains in Python
Home-page: https://github.com/tomswinburne/PyGT
Author: TD Swinburne
Author-email: swinburne@cinam.univ-mrs.fr
License: UNKNOWN
Description: # PyGT : Numerically stable analysis of metastable Markov chains in Python
        
        > Tom Swinburne, CNRS-CINaM, swinburne at cinam.univ-mrs.fr
        
        > Deepti Kannan, U Cambridge
        
        v0.1.0 :copyright: TD Swinburne and D Kannan 2020
        
        Beta version of code used in the papers below. Please see full documentation and examples at [readthedocs](https://pygt.readthedocs.io)
        
        T.D. Swinburne and D.J. Wales, *Defining, Calculating, and Converging Observables of a Kinetic Transition Network*, J. Chemical Theory and Computation (2020), [link](https://doi.org/10.1021/acs.jctc.9b01211)
        
        T.D. Swinburne, D. Kannan, D.J. Sharpe and D.J. Wales, *Rare Events and First Passage Time Statistics From the Energy Landscape*,
        J. Chemical Physics (accepted 2020)
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
