Webinar recordings

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GAMS MIRO 1.0 - Deploy your GAMS models in minutes!

We are proud to announce the release candidate for GAMS MIRO 1.0. GAMS MIRO is the new deployment environment for your GAMS models. Turn your models into fully-fledged applications in minutes and adapt them to your specific needs. No programming knowledge required!

Speaker: Frederik Proske

Published: 21 Apr, 2020

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GAMS MIRO Engine - running GAMS in the cloud!

GAMS MIRO Engine is a new, highly scalable version of GAMS that is tailored to cloud environments. MIRO Engine moves the heavy computation away from local PCs to servers and takes care of distributing your optimization jobs. It scales up or down depending on the workload. With the built-in user management system, you can limit user activities to reflect your organizational hierarchy.

Speaker: Hamdi Burak Usul

Published: 02 May, 2020

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Informs 2020 Workshop - Part 1: Introduction to GAMS

In November 2020, we hosted a virtual workshop at the Informs Virtual Conference. The Workshop was split up into three parts about GAMS, GAMS MIRO and GAMS Engine. In this first part of the workshop Stefan explains the benefits of GAMS and demonstrates how to implement and solve a simple optimization problem.

Speaker: Stefan Mann

Published: 17 Nov, 2020

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Informs 2020 Workshop - Part 2: Model Deployment with MIRO

In November 2020, we hosted a virtual workshop at the Informs Virtual Conference. The Workshop was split up into three parts about GAMS, GAMS MIRO and GAMS Engine. In this second part of the workshop Freddy explains how to turn a model into a GAMS MIRO app and how to deploy it.

Speaker: Frederik Proske

Published: 17 Nov, 2020

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Informs 2020 Workshop - Part 3: solving models in the cloud with GAMS Engine

In November 2020, we hosted a virtual workshop at the Informs Virtual Conference. The Workshop was split up into three parts about GAMS, GAMS MIRO and GAMS Engine. In this third part of the workshop Freddy explains what GAMS Engine is, and demonstrates the various ways to interact with Engine, especially how to use the Python API to solve a typical two part energy model with an “Invest” and a “Dispatch” component.

Speaker: Frederik Proske

Published: 17 Nov, 2020