Metadata-Version: 2.1
Name: apricopt
Version: 0.0.2a2
Summary: A library for simulation-based parameter optimization
Home-page: http://mclab.di.uniroma1.it
Author: Marco Esposito
Author-email: esposito@di.uniroma1.it
License: UNKNOWN
Description: # Apricopt #
        
        Apricopt is a python framework for simulation-based optimisation of dynamical systems.
        
        It is agnostic with respect to the optimiser and to the simulator.
        
        Apricopt supports the PEtab format for the definition of the optimisation problem. More info about PEtab [here](https://petab.readthedocs.io/en/latest/).
        
        Currently, we support the following simulators:
        
        * COPASI. A state-of-the-art simulator for models of biological processes. We support SBML models (any level and version).
        * RoadRunner. A fast state-of-the-art simulator of biological models.
        
        Currently, we support the following black-box optimisers:
        
        * NOMAD. A state-of the art black-box solver that supports surrogate models. More info [here](https://www.gerad.ca/nomad/).
        * SciPy.optimize. A python library that implements several algorithms for multivariate optimization. More info [here](https://docs.scipy.org/doc/scipy/reference/optimize.html).
        * PySwarms. A python library that implements various forms of the Particle Swarm Optimization algorithm. More info [here](https://pyswarms.readthedocs.io/en/latest/).
        
        Currently, we support the following white-box optimisers:
        
        * COPASI. It supports several optimisation algorithms for biological processes. More info [here](http://copasi.org/Support/User_Manual/Methods/Optimization_Methods/)
        
        ### Info ###
        
        WIP
        
        * Version 0.0.2a2
        
        
        ### Who do I talk to? ###
        
        * Marco Esposito (author) - esposito@di.uniroma1.it
        * Leonardo Picchiami (author) - picchiami.1643888@studenti.uniroma1.it
        
        
        Copyright (C) 2020-2021  Marco Esposito, Leonardo Picchiami.
        
        Distributed under GNU General Public License v3.
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
