Richard Li
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Richard Liさんがコメントを作成しました:
Also, I am curious if a subset of constraints are set packing constraints, whether Gurobi will detect that and build the set packing cutting planes for that subset, or if it is not able to do that ...
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Richard Liさんがコメントを作成しました:
Thanks for your response. I'm trying to understand how many of the best set packing cutting plane techniques are implemented in Gurobi. Is there any obvious ones that Gurobi is missing, and what ar...
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Richard Liさんが投稿を作成しました:
List of cutting plane techniques implemented by Gurobi
進行中This is the list of cutting planes in Mosek. is there a similar list in gurobi? I want to know what cutting planes are used.
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Richard Liさんがコメントを作成しました:
Log: https://www.dropbox.com/scl/fi/js29rw7qekbgedfu5skb1/02-01-2024_01-44-27_gurobilog_expfeb1_relaxation_4block_1e-3tol.txt?rlkey=wl259nlevc83lwtj4uyoxxhi0&dl=0
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Richard Liさんが投稿を作成しました:
LP with 26251550 rows, 1332396 columns and 177780888 nonzeros has very slow crossover
回答済みI have a very large LP, with many decision variables and constraints. I am using the default crossover setting The initial barrier solution completes in a reasonable amount of time. The first two p...
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Richard Liさんがコメントを作成しました:
Yes, but what type of heuristics are these? I saw a reference in a webinar that one heuristic is "large neighborhood search". What else is there?
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Richard Liさんが投稿を作成しました:
Ordering of binary variables in branch and bound tree
回答済みHow does Gurobi order the binary variables? I.e., how does it decide which binary variable is the root node, which ones are the children, etc. I believe for my problem I have a more optimal order...
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Richard Liさんがコメントを作成しました:
Thanks Marika. Can you explain what is happening algorithmically for a few of the heuristics and how they interact exactly with the warm start variables? I understand the overall algorithm is propr...
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Richard Liさんが投稿を作成しました:
Warm starting Gurobi's binary variables
回答済みSuppose I have an optimization problem with 1000 binary variables. I predict the binaries, with say a neural network. With the 1000 predicted binaries, 999 are "correct" in the sense that they belo...