Greg Glockner
Gurobi Staff- Total activity 180
- Last activity
- Member since
- Following 0 users
- Followed by 1 user
- Votes 21
- Subscriptions 67
Activity overview
Latest activity by Greg Glockner-
Greg Glockner commented,
The Pi Zero 2W supports both armv7l (32-bit) and aarch64 (64-bit) operating systems, but Gurobi only supports 64-bit Linux. So you will need to ensure that you install 64-bit Raspberry Pi OS. Also ...
-
Greg Glockner commented,
Official comment Unfortunately, no: Gurobi only supports 64-bit for ARM Linux, and we have no plans for 32-bit support in the future. We also do not provide source code for the Gurobi solver. That said, I have succ...
-
Greg Glockner created an article,
How do I get support as an Academic user?
Gurobi provides the most powerful mathematical programming solver to the academic community at no cost and with no restrictions on features or model size. For help with installation or licensing Gu...
-
Greg Glockner created an article,
How do I use gurobipy on Apple Silicon and Monterey (macOS 12)?
On macOS Monterey (macOS 12), the default python3 (/usr/bin/python3) is version 3.8. However, Gurobi v9.1 and later only support arm64 for Python >= 3.9. If you are on a machine with an Apple Silic...
-
Greg Glockner commented,
2 things to check: Ensure your local machine configuration was updated correctly so that the computation is running on the cloud. The console and the log should show something like: Capacity avail...
-
Greg Glockner commented,
I'm sure there are a lot of details which we can't get into on this discussion forum, but let me point you in a direction that hopefully should help. Most importantly, you must formulate your model...
-
Greg Glockner commented,
Looks like K or SC are either decision variables or linear expressions. This isn't supported.
-
Greg Glockner commented,
Why not just write a for loop and call Model.addConstr() to add the constraints one at a time?
-
Greg Glockner commented,
Unfortunately, no. However, the following may be more efficient for this model since it avoids some intermediate Python objects: for i in range(u.shape[2]): model.addMConstrs(u[:, :, i], x, '>', v)
-
Greg Glockner commented,
You don't need to link with pthread.