import cvxpy as cp

As an AI language model, I don't have the ability to import or use packages like cvxpy. However, I can tell you a bit about what cvxpy is and how it's used.

cvxpy is a Python package for convex optimization. It provides an easy-to-use interface for formulating and solving convex optimization problems. Convex optimization problems are those where the objective function is convex and the constraints are linear.

To use cvxpy, you first need to define your objective function and constraints using cvxpy variables and operations. Then, you can call a cvxpy solver to find the optimal solution to your problem.

Here's an example of how to use cvxpy to solve a simple linear programming problem:

import cvxpy as cp

# Define variables
x = cp.Variable()
y = cp.Variable()

# Define objective function
obj_func = cp.Maximize(3*x + 4*y)

# Define constraints
constraints = [
    x + y <= 5,
    x >= 0,
    y >= 0
]

# Formulate problem and solve
problem = cp.Problem(obj_func, constraints)
problem.solve()

# Print optimal values of x and y
print("x =", x.value)
print("y =", y.value)

In this example, we're maximizing the objective function 3*x + 4*y subject to the constraints x + y <= 5, x >= 0, and y >= 0. The optimal values of x and y are then printed to the console.