def test_ProjGradient_quadraticBounded(self):
PG = Optimization.ProjectedGradient(debug=True)
PG.lower, PG.upper = -2, 2
xopt = PG.minimize(getQuadratic(self.A, self.b), np.array([0, 0]))
x_true = np.array([2., 2.])
print('xopt: ', xopt)
print('x_true: ', x_true)
self.assertTrue(np.linalg.norm(xopt - x_true, 2) < TOL, True)
def test_ProjGradient_quadratic1Bound(self):
myB = np.array([-5, 1])
PG = Optimization.ProjectedGradient()
PG.lower, PG.upper = -2, 2
xopt = PG.minimize(getQuadratic(self.A, myB), np.array([0, 0]))
x_true = np.array([2., -1.])
print('xopt: ', xopt)
print('x_true: ', x_true)
self.assertTrue(np.linalg.norm(xopt - x_true, 2) < TOL, True)
