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Mathematical Modeling for Optimization and Machine Learning
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README.md

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Mathematical Modeling for Optimization and Machine Learning

Created by Hassan Hijazi.

www.allinsights.io/gravity

License

Gravity is licensed under the BSD 3-Clause License. Please see the LICENSE file for details.

** Contributors **

Hassan Hijazi, Los Alamos National Laboratory, The Australian National University | hlh@lanl.gov

Guanglei Wang, The Australian National University | guanglei.wang@anu.edu.au

Ksenia Bestuzheva, The Australian National University | k_best_7@mail.ru

Carleton Coffrin, Los Alamos National Laboratory| cjc@lanl.gov


See INSTALL.md for instructions on compiling Gravity

After running make, the Gravity executables can be found under Gravity/bin/


Getting Started

First, you will need to install an IDE, I recommend to choose among the following:

| | |

The model below was implemented in Xcode:

cover-example

Some Numerical Results:

Performance Profile on ACOPF

The first figure below is a performance profile illustrating percentage of instances solved as a function of time. The figure compares Gravity, JuMP and AMPL's NL interface (used by AMPL and Pyomo) on all standard instances found in the PGLIB benchmark library.

Performance Profile on ACOPF

The figure below compares model build time between Gravity and JuMP on the PGLIB benchmarks.

Model Build Time on ACOPF


Performance Profile on Inverse Ising Model

Performance Profile on Inverse Ising

Click here for more details.

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