def test_dense_minimum_norm_multiple_rhs(self):
solver = QRMUMPSSolver(self.A, verbose=False)
B = np.ones([self.m, 3], dtype=np.float64)
B[:, 1] = 2 * B[:, 1]
B[:, 2] = 3 * B[:, 2]
with pytest.raises(RuntimeError):
solver = solver.minimum_norm(B)
def test_dense_minimum_norm_multiple_rhs(self):
solver = QRMUMPSSolver((self.m, self.n, self.arow, self.acol, self.aval), verbose=False)
B = np.ones([self.n, 3], dtype=np.complex64)
B[: ,1] = 2 * B[:,1]
B[: ,2] = 3 * B[:,2]
rhs = np.dot(self.A, B)
with pytest.raises(RuntimeError):
x = solver.minimum_norm(rhs)
def test_dense_minimum_norm_multiple_rhs(self):
solver = QRMUMPSSolver((self.m, self.n, self.arow, self.acol, self.aval), verbose=False)
B = np.ones([self.n, 3], dtype=np.float64)
B[: ,1] = 2 * B[:,1]
B[: ,2] = 3 * B[:,2]
rhs = np.dot(self.A, B)
x = solver.minimum_norm(rhs)
assert np.allclose(np.dot(self.A,x), rhs, 1e-5)
def test_dense_minimum_norm_multiple_rhs(self):
solver = QRMUMPSSolver(self.A, verbose=False)
B = np.ones([self.m, 3], dtype=np.float64)
B[:, 1] = 2 * B[:, 1]
B[:, 2] = 3 * B[:, 2]
x = solver.minimum_norm(B)
assert np.allclose(self.A * x[:, 0], B[:, 0], 1e-5)
assert np.allclose(self.A * x[:, 1], B[:, 1], 1e-5)
assert np.allclose(self.A * x[:, 2], B[:, 2], 1e-5)
def test_dense_minimum_norm_wrong_size_rhs(self):
solver = QRMUMPSSolver(self.A, verbose=False)
rhs = np.ones([self.m + 1, 1], dtype=np.float64)
with pytest.raises(ValueError):
x = solver.minimum_norm(rhs)
def test_dense_minimum_norm_wrong_size_rhs(self):
solver = QRMUMPSSolver((self.m, self.n, self.arow, self.acol, self.aval), verbose=False)
rhs = np.ones([self.m+1, 1], dtype=np.float32)
with pytest.raises(ValueError):
x = solver.minimum_norm(rhs)
