Ryuta Tamura
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Ryuta Tamuraさんの最近のアクティビティ-
Ryuta Tamuraさんがコメントを作成しました:
This model will be Infeasible: m = gp.Model()x = m.addVar(lb=10, ub=10, name="x")y = m.addVar(lb=0,ub=0, name="y")z = m.addVar(name="z")m.addGenConstrNL(z,x/y)m.optimize() As this description stat...
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Ryuta Tamuraさんがコメントを作成しました:
Hi, Please see this description. Gurobi implicitly tries to avoid division by zero. However, to avoid unexpected behavior, it is recommended to explicitly constrain the denominator to be non-zero s...
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Ryuta Tamuraさんがコメントを作成しました:
Hi Audrius, As the error message states, the objective function must be linear or quadratic. This can be resolved using auxiliary variable and addGenConstrNL method: obj = m.addVar(name="obj")m.add...
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Ryuta Tamuraさんがコメントを作成しました:
Hi Minseo, You can specify how to handle general function constraints by funcnonlinear parameter. When this parameter is 0, Gurobi uses static piecewise-linear approximation, and when it is 1, Guro...
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Ryuta Tamuraさんがコメントを作成しました:
Hi Mina, model.addGenConstrPow is used to create constraints \(x = n^a \) (x, n: variable, a: constant). You can use model.addGenConstrExpA to create constraints \(x = a^n \): model.addGenConstrExp...
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Ryuta Tamuraさんがコメントを作成しました:
Hi,Your model looks large, so your program may have crashed due to memory problems. Optimize a model with 126144161 rows, 132451320 columns and 129520768 nonzeros Checking memory usage may reveal t...
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Ryuta Tamuraさんがコメントを作成しました:
Hi, According to the part of your first post where you print input_vars: [<gurobi.LinExpr: 0.0 <gurobi.Var *Awaiting Model Update*>>, <gurobi.LinExpr: 0.0 <gurobi.Var *Awaiting Model Update*>>, <gu...
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Ryuta Tamuraさんがコメントを作成しました:
Hi, If I understand correctly, you are interested in enumerating "all" feasible solutions. In such use case, SolutionPool feature and PoolSearchMode parameter might help. By setting PoolSearchMode ...
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Ryuta Tamuraさんがコメントを作成しました:
Hi, The second argument of addGenConstrMax must be a list of "Var" object. It seems that your input_vars is a list of LinExpr object. In this case you can use auxiliary variables (e.g. vector a), a...
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Ryuta Tamuraさんがコメントを作成しました:
Hi Xin Yu, Thank you for sharing the model! This looks a hard model. From the following code snippet: m.setObjective(r[0] * t, gp.GRB.MAXIMIZE) m.addConstr(t * r[3] == 1) the objective function ca...