David Torres Sanchez

Hi Ilya, This is not possible.The values of \(\texttt{n_p}\) which are retrieved by \(\texttt{n_p[p].X}\) cannot be used in this way (they are not defined until the \(\texttt{optimize}\) call). Che...

Hi Ibrahim, These should be straightforward. 1) Is there a way to set dynamic termination criteria for MP, e.g. solve MP optimally once in every 10 iterations? For example, # formulate Model: mpi...

Hi Rihot,Sounds like there is an error in your formulation.You can try writing it to a LP file and make sure that the constraints match the formulation in the book: \(\texttt{model.write("vrptw.lp"...

Hi,There are several syntax mistakes with this snippet, e.g. first import line, \(\texttt{m.addMVar}\) with no line break with \(\texttt{m.setObjective}\). Please use a Python syntax highlighter/ch...

Hi Moe,You're on the right track. Adding a small constant is the best way of doing this.Please see this article on strict inequalities.Cheers,David

Hi Jakub, If your variable scaling is better than those found in presolve then I would've thought that these will be kept.You can check this by looking a the presolved model. Using the Python API: ...

Hi Per,Thanks for getting in touch and for testing the beta!This seems like quite a specific application. There would be a significant overhead between the machines (GPU → host → other machine). Ha...

Thank you very much for the output! The line:Addressing Mode : N/Aand the driver version being ≥ 535 means that HDMM isn’t enabled on this system so you the only workaround fo...

Can you provide the output of nvidia-smi -q and your operating system details with uname -a. I'm trying to determine if a driver upgrade would fix this issue for the alpha release.Cheers,David

Thanks for the report! We can reproduce this using the alpha version on a linux machine with a GPU without HMM. Luckily our beta release (coming very soon) doesn't have this issue! Please stay tune...