How do I multiply an array and a 2-D MVar object using the matrix-friendly Python API?

Operations on 2D MVar objects work natively, following the dimensionality conventions of numpy. For example, let \( a \in \mathbb{R}^m \), let \(b \in \mathbb{R}^n \), and let \(X\) be an \( m \times n \) MVar object. We can model the expression \( a^\top X b \) as follows:

import gurobipy as gp
import numpy as np

model = gp.Model()
X = model.addMVar((3,4))

a = np.random.rand(3)
b = np.random.rand(4)

model.setObjective(a @ X @ b)

Further information

• How do I multiply two MLinExpr objects together with the matrix-friendly Python API?
• How do I pointwise multiply a numpy vector with a (1,) MVar with the matrix-friendly Python API?
• How do I pointwise multiply two MVars with the matrix-friendly Python API?
• How do I pointwise multiply an array and an MVar with the matrix-friendly Python API?