[Coin-announce] Gravity is joining COIN-OR

[Hijazi, Hassan]

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       Gravity is joining COIN-OR
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We are pleased to announce that Gravity (https://projects.coin-or.org/Gravity) is now part of COIN-OR!

Gravity is a scalable, memory efficient modeling language for solving mathematical models in Optimization and Machine Learning. It exploits structure to reduce function evaluation time including Jacobian and Hessian computation. Gravity is implemented in C++ with a flexible interface allowing the user to specify the numerical accuracy of variables and parameters and can handle arbitrary Mixed-Integer Nonlinear Programs (MINLPs) as well as Mixed-Integer Semidefinite Programs (MISDPs). It is also designed to offer efficient iterative model solving, convexity detection, multithreading of subproblems, automatic reformulation of disjuctive constraints, automatic building of convex relaxations and lazy constraint generation. When compared to state-of-the-art modeling languages such as JuMP, Gravity is 5 times faster in terms of function evaluation and up to 60 times more memory efficient. Short term goals include Lasserre’s hierarchy implementation for polynomial optimization and automatic symbolic variable elimination for MINLPs.

Please let us know if you have any questions or feedback!

Kind regards,
______________________________
Hassan Hijazi
Scientist
Los Alamos National Laboratory
PO Box 1663, MS B284
Los Alamos, NM  87545 | USA
E  hlh at lanl.gov<mailto:hlh at lanl.gov>  T (+1) 505-665-2001
about.me/hhijazi<http://about.me/hhijazi>



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