
Maliheh Aramon
- 合計アクティビティ 727
- 前回のアクティビティ
- メンバー登録日
- フォロー 0ユーザー
- フォロワー 0ユーザー
- 投票 1
- サブスクリプション 298
アクティビティの概要
Maliheh Aramonさんの最近のアクティビティ-
Maliheh Aramonさんがコメントを作成しました:
However, is it possible to convert the values of the decision variables to a `numpy.array`? Yes, you can convert the values to a numpy array but the issue is that you do not have access to values...
-
Maliheh Aramonさんがコメントを作成しました:
Hi, You cannot pass Gurobi Python objects to a NetworkX algorithm function "local_edge_connectivity". This function expects a NetworkX graph object as the first argument. You cannot create a Netwo...
-
Maliheh Aramonさんがコメントを作成しました:
Hi Yiran, I found that the optimal solution (obj and the values of the decision variables) of the primal problem were exactly the same You need to check the optimal basis information by querying...
-
Maliheh Aramonさんがコメントを作成しました:
Hi, The behaviour you described can occur if the solution returned by the first problem is not "clean." Due to the finite precision of floating-point arithmetic, the optimal solution returned by G...
-
Maliheh Aramonさんがコメントを作成しました:
Hi Rahmat, Google Colab runs notebooks in containerized environments. To use the full-featured Gurobi Optimizer without restrictions on problem size in the Google Colab, you need a WLS license. For...
-
Maliheh Aramonさんがコメントを作成しました:
Hi Mike, As you know, only GRBgeterrormsg() function is included in our official documentation. Therefore, we recommend using this officially documented function. You are correct that the Gurobi C...
-
Maliheh Aramonさんがコメントを作成しました:
If I copy the model by model.copy, will the copied model utilize the previously computed solution? No, you would need to set the Start attributes on the variables of the copied model in this ca...
-
Maliheh Aramonさんがコメントを作成しました:
Hi Ali, When I add constraints to enforce those feasible solutions, the entire model becomes infeasible. This suggests that the solutions you expect to be feasible may not be feasible. You can i...
-
Maliheh Aramonさんがコメントを作成しました:
Or should I explicitly set var.Start = var.X, for those variables included in the first run? As long as you do not call the reset() method on the model object, the solver will utilize the previou...
-
Maliheh Aramonさんがコメントを作成しました:
Can I interpret it as the bottleneck in this particular problem is proving the solution is optimal rather than finding the solution? This depends on the model and the quality of the start soluti...