Ritesh Bhalerao
- 合計アクティビティ 17
- 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 3
- サブスクリプション 6
アクティビティの概要
Ritesh Bhaleraoさんの最近のアクティビティ-
Ritesh Bhaleraoさんが投稿を作成しました:
Solving Non convex MIQCP in reasonable time
ユーザーの入力を待っています。Hello, I am trying to solve a fleet management problem which involves many bilinear terms. This non convex MIQCP has been running on my other machine since 7hrs and the gap is still 24%. Is there a...
-
Ritesh Bhaleraoさんが投稿を作成しました:
Sifting method from scratch
回答済みHello, I have a LPP which has 5000 columns and I want to use Sifting method to solve it. I wish to implement Sifting from scratch. Could anyone help me with that ?
-
Ritesh Bhaleraoさんが投稿を作成しました:
API usage permission
回答済みI have academic license. Can I use it for published research ?
-
Ritesh Bhaleraoさんが投稿を作成しました:
GPU RAM usage with Gurobi
回答済みIs there any way we can also use GPU memory for optimization with Gurobi
-
Ritesh Bhaleraoさんがコメントを作成しました:
Thank you for your response, I just need to ask can the following system specs be able to handle this problem GPU Card: NVIDIA 10800 Pytorch SSD Memory: 1500 GB GPU Memory: 80 GB Ram : 115 GB OS: ...
-
Ritesh Bhaleraoさんが投稿を作成しました:
Large MILP problem
回答済みGurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64) CPU model: 12th Gen Intel(R) Core(TM) i5-12450H, instruction set [SSE2|AVX|AVX2]Thread count: 8 physical cores, 12 logical processors, using...
-
Ritesh Bhaleraoさんがコメントを作成しました:
#Distance.shape = (2000,2000) type = np.matrixB = m.addMVar((2000,2000), vtype= GRB.CONTINUOUS , lb = 0 , name = B_name )X = m.addMVar((2000,2000), vtype= GRB.BINARY)exp1 = (Distance * B * X).sum()...
-
Ritesh Bhaleraoさんが投稿を作成しました:
Performance issues with large variables
回答済みI have a distance matrix D of size 2000×2000. Mvars A and B of same size as above A is continous and B is Binary. Forming a part of objective function is the expression D*A*B representing that Dij*...