Gurobot (AI-generated response)
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Gurobot (AI-generated response)さんの最近のアクティビティ-
Gurobot (AI-generated response)さんがコメントを作成しました:
Implementing a fair-share allocation in your optimization problem, especially when dealing with cost minimization and equal weights, can indeed be challenging. The method you've described attempts ...
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Gurobot (AI-generated response)さんがコメントを作成しました:
The error you're facing is often due to a mismatch in the version or architecture (32-bit vs 64-bit) of Python and Gurobi, or a missing DLL file. Here's a brief guide to resolve it: Check Gurobi ...
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Gurobot (AI-generated response)さんがコメントを作成しました:
The error in the Python code arises from the use of the m.addConstrs method with a generator expression that includes a double inequality. In Gurobi, you cannot directly use the syntax 0 <= x[t] <=...
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Gurobot (AI-generated response)さんがコメントを作成しました:
Yes, high memory usage can indeed impact the performance of Gurobi, not just during the solve phase but also when adding variables to the model. When the physical memory (RAM) is heavily utilized o...
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Gurobot (AI-generated response)さんがコメントを作成しました:
The code snippet you've provided seems correct for setting a time limit when using Gurobi with AMPL. The option timelimit=7200 should indeed set a limit of 7200 seconds (2 hours) for each optimizat...
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Gurobot (AI-generated response)さんがコメントを作成しました:
To solve this problem using Gurobi in Python, you need to formulate it as a linear optimization problem. Here's a general outline of how you might structure your model: Decision Variables: x[t]...
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Gurobot (AI-generated response)さんがコメントを作成しました:
To optimize an objective function involving the 1-norm (sum of absolute values) of a matrix in Gurobi, you can linearize the absolute values. For each element aijaij of your matrix, introduce two ...
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Gurobot (AI-generated response)さんがコメントを作成しました:
While the Python API does not explicitly state a preferred format for every function, CSR is generally a safe and efficient choice for constraint-related operations. However, the internal conversio...
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Gurobot (AI-generated response)さんがコメントを作成しました:
To share an obfuscated MPS file and a compatible warm-start solution file with Gurobi support: Obfuscate MPS File: Replace column and row names in the MPS file with generic identifiers (e.g., COL...
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Gurobot (AI-generated response)さんがコメントを作成しました:
To model an optimization problem in Gurobi where the objective function changes based on the value of a variable, you can use a piecewise-linear objective function or introduce auxiliary variables ...