Variables | |
| A = np.random.rand(dim, dim) | |
| B = A.dot(X) | |
| D = ldlt.vectorD() | |
| int | dim = 100 |
| L = ldlt.matrixL() | |
| ldlt = eigenpy.LDLT(A) | |
| P = ldlt.transpositionsP() | |
| X = np.random.rand(dim, 20) | |
| X_est = ldlt.solve(B) | |
Definition at line 5 of file test_LDLT.py.
| test_LDLT.B = A.dot(X) |
Definition at line 20 of file test_LDLT.py.
| test_LDLT.D = ldlt.vectorD() |
Definition at line 12 of file test_LDLT.py.
| int test_LDLT.dim = 100 |
Definition at line 4 of file test_LDLT.py.
| test_LDLT.L = ldlt.matrixL() |
Definition at line 11 of file test_LDLT.py.
| test_LDLT.ldlt = eigenpy.LDLT(A) |
Definition at line 9 of file test_LDLT.py.
| test_LDLT.P = ldlt.transpositionsP() |
Definition at line 13 of file test_LDLT.py.
| test_LDLT.X = np.random.rand(dim, 20) |
Definition at line 19 of file test_LDLT.py.
| test_LDLT.X_est = ldlt.solve(B) |
Definition at line 21 of file test_LDLT.py.