Metadata-Version: 1.2
Name: gekko
Version: 1.0.0
Summary: Machine learning and optimization for dynamic systems
Home-page: https://github.com/BYU-PRISM/GEKKO
Author: BYU PRISM Lab
Author-email: john_hedengren@byu.edu
License: MIT
Description: GEKKO
        =====
        
        GEKKO is a python package for machine learning and optimization, specializing in
        dynamic optimization of differential algebraic equations (DAE) systems. GEKKO 
        provides a user-friendly interface to the powerful APMonitor optimization suite
        on the back end. It is coupled with large-scale solvers for linear, quadratic,
        nonlinear, and mixed integer programming (LP, QP, NLP, MILP, MINLP). Capabilities
        include machine learning, discrete or continuous models, real-time optimization, 
        simulation, moving horizon estimation, and nonlinear predictive control.
Keywords: differential deep learning reinforcement optimization mixed-integer
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Python: >=2.6
