Python - Linear Programming

from cvxopt import solvers, matrix

# Elements of a matrix are columns
# All the elements must be FLOAT, so I add a '.', so 2 = 2. = 2.0
A = matrix([[-1., -1., 0., 1.], [1., -1., -1., -2.]])
print(A)
b = matrix([1., -2., 0., 4.])
print(b)
c = matrix([2., 1.])
print(c)

# Minimization problem is the following:
# min(c^T * x)     subject to: Ax <= b
sol = solvers.lp(c, A, b)
sol2 = solvers.lp(c, A, b, options = {'maxiters': 3})

optimal = sol['x']
print("Optimal Solution")
print(optimal)