def test_pgs_solver_2(self):
n = 7
A = np.diag(np.arange(7) + 1).astype(float)
print(A)
b = np.array([-1, 4, 4, 2, -3, 7, -5]).astype(float) # Seems less stable with zeros in b
real_z = np.array([1, 0, 0, 0, 0.6, 0, 5 / 7])
real_w = np.array([0, 4, 4, 2, 0, 7, 0])
z = solve_LCP_with_pgs(A, b)
print(z)
print(z - real_z[:, None])
w = np.dot(A, z) + b[:, None]
assert np.dot(w.T, z) < 0.00001
assert np.allclose(real_z[:, None], z)
assert np.allclose(real_w[:, None], w)
def test_pgs_solver_1(self):
n = 5
e = np.ones(n)
A = np.diag(-e[:-1], 1) + np.diag(-e[:-1], -1) + np.diag(2. * e, 0)
b = np.array([1, -3, 0, 4, -2]).astype(float)
real_z = np.array([0.75, 2.5, 1.25, 0, 1])
real_w = np.array([0, 0, 0, 1.75, 0])
z = solve_LCP_with_pgs(A, b)
print(z - real_z[:, None])
w = np.dot(A, z) + b[:, None]
assert np.dot(w.T, z) < 0.00001
assert np.allclose(real_z[:, None], z)
# Maybe set our own tolerance?
assert np.allclose(real_w[:, None], w)
def test_pgs_solver_1(self):
n = 5
e = np.ones(n)
A = np.diag(-e[:-1], 1) + np.diag(-e[:-1], -1) + np.diag(2. * e, 0)
b = np.array([1, -3, 0, 4, -2]).astype(float)
real_z = np.array([0.75, 2.5, 1.25, 0, 1])
real_w = np.array([0, 0, 0, 1.75, 0])
z = solve_LCP_with_pgs(A, b)
print(z - real_z[:, None])
w = np.dot(A, z) + b[:, None]
assert np.dot(w.T, z) < 0.00001
assert np.allclose(real_z[:, None], z)
# Maybe set our own tolerance?
assert np.allclose(real_w[:, None], w)
def test_pgs_solver_2(self):
n = 7
A = np.diag(np.arange(7) + 1).astype(float)
print(A)
b = np.array([-1, 4, 4, 2, -3, 7,
-5]).astype(float) # Seems less stable with zeros in b
real_z = np.array([1, 0, 0, 0, 0.6, 0, 5 / 7])
real_w = np.array([0, 4, 4, 2, 0, 7, 0])
z = solve_LCP_with_pgs(A, b)
print(z)
print(z - real_z[:, None])
w = np.dot(A, z) + b[:, None]
assert np.dot(w.T, z) < 0.00001
assert np.allclose(real_z[:, None], z)
assert np.allclose(real_w[:, None], w)