Variables | |
A = rng.random((dim, dim)) | |
B = A.dot(X) | |
D = ldlt.vectorD() | |
int | dim = 100 |
L = ldlt.matrixL() | |
ldlt = eigenpy.LDLT(A) | |
P = ldlt.transpositionsP() | |
rng = np.random.default_rng() | |
X = rng.random((dim, 20)) | |
X_est = ldlt.solve(B) | |
Definition at line 8 of file test_LDLT.py.
test_LDLT.B = A.dot(X) |
Definition at line 22 of file test_LDLT.py.
test_LDLT.D = ldlt.vectorD() |
Definition at line 14 of file test_LDLT.py.
int test_LDLT.dim = 100 |
Definition at line 5 of file test_LDLT.py.
test_LDLT.L = ldlt.matrixL() |
Definition at line 13 of file test_LDLT.py.
test_LDLT.ldlt = eigenpy.LDLT(A) |
Definition at line 11 of file test_LDLT.py.
test_LDLT.P = ldlt.transpositionsP() |
Definition at line 15 of file test_LDLT.py.
test_LDLT.rng = np.random.default_rng() |
Definition at line 6 of file test_LDLT.py.
test_LDLT.X = rng.random((dim, 20)) |
Definition at line 21 of file test_LDLT.py.
test_LDLT.X_est = ldlt.solve(B) |
Definition at line 23 of file test_LDLT.py.