Gurobi Python:如何在MVar上进行元素级乘法？

import gurobipy as gp
from gurobipy import GRB

model = gp.Model()

# 创建MVar变量
x = model.addMVar(shape=2, lb=0, ub=1, name='x')
# 定义一个系数矩阵
coeff = [[1, 2], [3, 4]]

# 添加约束：元素级乘法
model.addConstrs((x[i]*x[j] <= coeff[i][j] for i in range(2) for j in range(2)), name='constraint')

# 设置目标函数
model.setObjective(gp.quicksum(x), GRB.MAXIMIZE)

model.optimize()

if model.status == GRB.OPTIMAL:
    print('Optimal objective value: %.2f' % model.objVal)
    print('Solution:')
    for i in range(2):
        print('x[%d] = %.2f' % (i, x[i].X))
else:
    print('No solution found.')