# Decogo - decomposed-based approximation framework for global optimization
Decogo is a Pyomo-based solver for solving convex and nonconvex mixed integer nonlinear problems. It performs automatic reformulation depending on the definition of Pyomo model.
The documentation is hosted on readthedocs.org and can be accessed here.
Decogo is tested on Python 3.8 (CPython). The dependencies and the installation for development can be found in documentation.
MIT License Copyright (c) 2020 Pavlo Muts, Ouyang Wu and Ivo Nowak