maximize( w * hd(1) * hd(2))
subject to
2*(hd(1)*w+hd(1)*hd(2)) <= Awall;
w*hd(2) <= Afloor;
%%alpha <= hd(1)/w >= beta;
alpha <= hd(1)/w
hd(1)/w >= beta
%%gamma <= hd(2)/w <= delta;
gamma <= hd(2)/w
hd(2)/w <= delta
x(1)^2 == 1
x(2)^2 == 2
x(3) == 3
x <= 100
%x(1:2) >= -10000
cvx_end
"""
'''
string = """
cvx_begin gp
variables w hd(2) x(3)
2*(hd(1)*w+hd(1)*hd(2)) <= Awall;
w*hd(2) <= Afloor;
x(1)^2 == 1
cvx_end
"""
'''
prob = cvx4py(string, 0, locals())
soln = prob.solveProblem();
print soln
#import our framework
import numpy as np
from cvx4py import cvx4py
string = """cvx_begin
variable x(n);
dual variable y;
minimize( c' * x );
subject to
y : A * x <= b;
cvx_end
hi %hello
=
==
>
<
>=
<="""
string = '1+2'
A = np.array([[ 1., 2.], [ 0., 0.], [ 1., 3.]])
prob = cvx4py(string, 0, locals())
prob.solve();
prob = cvx4py('myfile.cvx', 1, locals())
prob.solve();
