Gana is an Algebraic Modeling Language (AML) for Multiscale Modeling and Optimization.
Generated programs (Prg) can be subclasses of Multiparametric Mixed Integer Linear Programming (mpMILP).
Features
Gana supports:
- mutable elements, allowing constraints/functions to be updated dynamically
- multiparametric as well as mixed integer programming
- formulation in both matrix form and set-based mathematical program
Moreover, Gana uses a simple format to write constraints/functions.
Elements
Programs in Gana are written using element sets, namely:
I- indexV- variableP- parameterT- parametric variable
Solvers
The list of natively supported solvers are:
- PPOPT for multiparametric programming (mp)
- Gurobi for Mixed Integer Programming (MIP) Programs can, however, be exported as a .mps or .lp file and passed to most solvers.
Illustration
Gana is best run in Jupyter as notebook (.ipynb) files, where programs can be visualized as canonical mathematical programs using set-notation.
Additionally, matrices can be exported.
Purpose
Gana was developed to enable certain functionalities in energia (py). Both were developed as PhD projects and have ample room for improvement. So please reach out to me on cacodcar@gmail.com with suggestions and such.
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