gurobipython：如何在MVar上实现元素级乘法？

如何在二次规划的约束中进行元素相乘

我有以下实现

import gurobipy as gp

m = gp.model("model")
x = m.addMVar(shape=(10), name="x")
y = m.addMVar(shape=(5), name="y")
A = np.random.rand(5, 10)

m.addConstr(A @ x - (y*y) <= A[:,0], name="const")

m.setObjective(x.sum() - (y*y).sum()), GRB.MAXIMIZE)

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因为你的y是一个标量，你可以做y@y

Traceback (most recent call last):
  File "/home/usr/test.py", line 21, in solve_QP_gurobi
    m.addConstr(A @ x - (y*y) <= A[:,0], name="const")
  File "mvar.pxi", line 76, in gurobipy.MVar.__mul__
  File "mvar.pxi", line 152, in gurobipy.MVar.scalar_mult
TypeError: float() argument must be a string or a number, not 'MVar'