Each year, GAMS donates EUR 500 to each of the three winners of the price for excellent Diploma- and Master Theses, organized by the German Society for Operations Research. Congratulations to this years winners!
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For quite a while we have been providing the option to play around with GAMS in Jupyter notebooks in a hosted environment at https://jupyterhub.gams.com/. That place is still a good resource for getting started and provides a few examples of how to use GAMS in this environment. We have received a lot of requests to make this available for local installation, and we listened.
Read More...Optimization problems occasionally yield unbounded solutions. To find the cause one can modify the model and solve it to gain information. This is done through the imposition of “artificially” large bounds. Linear programming solvers discover unboundedness when they find a variable which is attractive to make larger, but find that the variable may be increased without limit.
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