Alison Cozad
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Alison Cozadによる最近のアクティビティ-
Your subproblem is a Linear Program (LP), which is advantageous because dual values (pi values) can be retrieved for convex, continuous models. This capability applies to both equal...
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This is certainly a tricky topic. Luckily, Yash Puranik, a Principal Data Scientist at Aimpoint Digital, has put some thought into this topic and shared his and Aimpoint's principles for deploying,...
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This can be tricky because shadow prices are not well-defined in mixed-integer programs. For this reason, Gurobi does not provide dual values for a model with integer variables. Nevertheless, if ...
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To illustrate these three methods, we will dig into the diet problem below. This is based on the diet.py example in Gurobi's example library. The diet problem -- MIP version Here is the full MIP ve...
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Hi Joaquin, I suspect this relates to the specific license you have. To troubleshoot this better, I have created a ticket from this post. Regards, Alison
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You can install gurobipy (Gurobi's Python interface) by following the instructions in How do I install Gurobi for Python? If you are still having issues with installation, please don't hesitate to ...
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Great to hear it helped!
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Hi Julien, You can write out the parameter file for each environment separately using the Env.writeParams() function. Here is an example, env0.writeParams("params_from_env0.prm")env1.writeParams("...
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Michel is quite right, the Compute IIS routine can be computationally expensive, particularly for large MIP models. You can find out a bit more about how the routine works here: How does Gurobi co...
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You are on the right path by considering experimenting with your model. This is because there is no way to predict how long it will take to retrieve a feasible or optimal solution. If everything ...