Inheritance diagram for test_NonlinearOptimizer.TestScenario:
Public Member Functions | |
| def | setUp (self) |
| def | test_dogleg (self) |
| def | test_gauss_newton (self) |
| def | test_gnc_params (self) |
| def | test_graduated_non_convexity (self) |
| def | test_iteration_hook (self) |
| def | test_levenberg_marquardt (self) |
| def | test_levenberg_marquardt_pcg (self) |
 Public Member Functions inherited from gtsam.utils.test_case.GtsamTestCase | |
| def | assertDeepCopyEquality (self, obj) |
| None | assertEqualityOnPickleRoundtrip (self, object obj, tol=1e-9) |
| def | gtsamAssertEquals (self, actual, expected, tol=1e-9) |
Public Attributes | |
| fg | |
| initial_values | |
| optimal_values | |
| ordering | |
Detailed Description
Do trivial test with three optimizer variants.
Definition at line 31 of file test_NonlinearOptimizer.py.
Member Function Documentation
◆ setUp()
| def test_NonlinearOptimizer.TestScenario.setUp | ( | self | ) |
Set up the optimization problem and ordering
Definition at line 33 of file test_NonlinearOptimizer.py.
◆ test_dogleg()
| def test_NonlinearOptimizer.TestScenario.test_dogleg | ( | self | ) |
Definition at line 77 of file test_NonlinearOptimizer.py.
◆ test_gauss_newton()
| def test_NonlinearOptimizer.TestScenario.test_gauss_newton | ( | self | ) |
Definition at line 56 of file test_NonlinearOptimizer.py.
◆ test_gnc_params()
| def test_NonlinearOptimizer.TestScenario.test_gnc_params | ( | self | ) |
Definition at line 88 of file test_NonlinearOptimizer.py.
◆ test_graduated_non_convexity()
| def test_NonlinearOptimizer.TestScenario.test_graduated_non_convexity | ( | self | ) |
Definition at line 83 of file test_NonlinearOptimizer.py.
◆ test_iteration_hook()
| def test_NonlinearOptimizer.TestScenario.test_iteration_hook | ( | self | ) |
Definition at line 153 of file test_NonlinearOptimizer.py.
◆ test_levenberg_marquardt()
| def test_NonlinearOptimizer.TestScenario.test_levenberg_marquardt | ( | self | ) |
Definition at line 62 of file test_NonlinearOptimizer.py.
◆ test_levenberg_marquardt_pcg()
| def test_NonlinearOptimizer.TestScenario.test_levenberg_marquardt_pcg | ( | self | ) |
Definition at line 68 of file test_NonlinearOptimizer.py.
Member Data Documentation
◆ fg
| test_NonlinearOptimizer.TestScenario.fg |
Definition at line 36 of file test_NonlinearOptimizer.py.
◆ initial_values
| test_NonlinearOptimizer.TestScenario.initial_values |
Definition at line 48 of file test_NonlinearOptimizer.py.
◆ optimal_values
| test_NonlinearOptimizer.TestScenario.optimal_values |
Definition at line 42 of file test_NonlinearOptimizer.py.
◆ ordering
| test_NonlinearOptimizer.TestScenario.ordering |
Definition at line 53 of file test_NonlinearOptimizer.py.
The documentation for this class was generated from the following file: