`conda install -c https://conda.binstar.org/cvxgrp cvxpy`

In [1]:

```
import cvxpy as cvx
import numpy as np
# Create two scalar optimization variables.
x = cvx.Variable()
y = cvx.Variable()
# Create two constraints.
constraints = [3*x + 4*y == 26,
2*x - 3*y == -11]
# Form objective.
obj = cvx.Minimize(cvx.norm(x+y))
# Form and solve problem.
prob = cvx.Problem(obj,constraints)
prob.solve() # Returns the optimal value
# Display the solution
print("Status:", prob.status)
print("Objective Value:", prob.value)
print("Solution:", x.value, y.value)
```