Our new data-centric GAMS Transfer API allows convenient exchange of large data sets between GAMS and Matlab or Python, and uses the native data structures of those platforms. This Python example shows how easy it is to use GAMS Transfer.
INFORMS Annual Meeting in Anaheim
GAMS was happy to attend the first in-person INFORMS conference since COVID-19 pandemic. GAMS held a technical tutorial about how to turn your model into applications while using GAMS Engine.
Model Instances with more than 2³¹ Non-Zeros - Impact on Energy Systems Research
With GAMS 37, we now support the generation of model instances with more than 2³¹ non-zeros. We expect huge models to become more important in the future.
Automated GAMS model testing with GAMS Engine and GitHub Actions
Learn how to use GitHub Actions with GAMS Engine to run automated tests for your optimization models.
