矩阵变量Mvar是NumPy ndarray形式的变量,只能使用下标索引,通过Numpy的矩阵与MVar相乘得到线性/多项式矩阵表达式MLinExpr或MQuadExpr。 矩阵变量的创建 Model.addMVar() 常用 addMVar ( shape, lb=0.0, ub=GRB.INFINITY, obj=0.0, vtype=GRB.CONTINUOUS, name="") shape:矩阵向量的维度 lb, ub:分别为变量的上...
Added missing support of scalar division for the MLinExpr object of gurobipy Fixed bug with accepting a solution with big constraint violation that came from a certain heuristic Fixed bug with returning the scaled solution from barrier, if the barrier solve is interrupted prematurely Fixed segmentatio...
这个类中没有成员函数,TempConstr对象使用Var,MVar,LinExpr,QuadExpr,MLinExpr,MQuadExpr和GenExpr对象创建(比如==,<=,>=)不需要用变量去保存这些对象。 通过TempConstr对象,可以创建一些不同类型的约束 线性约束,比如x+y<=1+z 范围约束,x+y==[1, 2] 线性矩阵约束,A@x <= 1 或者A@x == B@y...
GurobiCurrent (12.0) Arguments: i– Index for term of interest. Return value: Variable for the term at indexiin the expression. Example: // Get variable from first term in expressionGRBVarv=expr.getVar(0); voidmultAdd(doublem,GRBLinExprle)# ...
//Gurobi for (int i = 0; i < N; i++) { GRBLinExpr expr1 = 0, expr2 = 0; for (int j = 0; j < N; j++) { expr1 += vars[i][j]; expr2 += vars[j][i]; } model.addConstr(expr1 == expr2, "balance_" + itos(i)); if (i) model.addConstr(expr1 == 1, "degr...
File src/gurobipy/mlinexpr.pxi:1749, in gurobipy.MLinExpr.__rmul__() File src/gurobipy/mquadexpr.pxi:1198, in gurobipy.MQuadExpr.__rmul__() File src/gurobipy/mlinexpr.pxi:1749, in gurobipy.MLinExpr.__rmul__() [... skipping similar frames: gurobipy.MQuad...
我用GUROBI求解了一个LP模型,我知道这个模型有无限个最优解。如下所示,目标函数和星座1具有相同的斜率,而星座1是绑定的。GUROBI只显示一个最优解,但是如何找到所有可能的解决方案(或范围)?如何在更复杂的LP模型中找到最优解的数目?MaximizeSubject To non negative x1 : <gurobi.LinExpr: x1& ...
问我不知道为什么'gurobipy.LinExpr‘对象是不可迭代的EN所谓不可变对象，是指一个对象在创建后，它的...
i want gurobi to solve a optimization problem with a bilinear term.In the highlighted row of code,u and w are both variables,u is 24*1 vector,w is 168*1 vector.But gurobi says 'MLinExpr' object has no attribute 'transpose',how do i cope with this? Related to Bilinear Ma...
LinExpr(array,fv.values()) ) m.Params.outputFlag = 0 m.optimize() return [fv[i].X for i in range(N)] Example #2Source File: solvers.py From MatchingMarkets.py with BSD 3-Clause "New" or "Revised" License 5 votes def addConstraint(self, constraint, name = None): if not ...