gtsam
4.0.0
gtsam
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This class performs Dogleg nonlinear optimization.
Public Member Functions | |
Standard interface | |
DoglegOptimizer (const NonlinearFactorGraph &graph, const Values &initialValues, const DoglegParams ¶ms=DoglegParams()) | |
Standard constructor, requires a nonlinear factor graph, initial variable assignments, and optimization parameters. More... | |
DoglegOptimizer (const NonlinearFactorGraph &graph, const Values &initialValues, const Ordering &ordering) | |
Standard constructor, requires a nonlinear factor graph, initial variable assignments, and optimization parameters. More... | |
Advanced interface | |
virtual | ~DoglegOptimizer () |
Virtual destructor. | |
GaussianFactorGraph::shared_ptr | iterate () override |
Perform a single iteration, returning GaussianFactorGraph corresponding to the linearized factor graph. | |
const DoglegParams & | params () const |
Read-only access the parameters. | |
double | getDelta () const |
Access the current trust region radius delta. | |
Public Member Functions inherited from gtsam::NonlinearOptimizer | |
virtual const Values & | optimize () |
Optimize for the maximum-likelihood estimate, returning a the optimized variable assignments. More... | |
const Values & | optimizeSafely () |
Optimize, but return empty result if any uncaught exception is thrown Intended for MATLAB. More... | |
double | error () const |
return error | |
size_t | iterations () const |
return number of iterations | |
const Values & | values () const |
return values | |
virtual | ~NonlinearOptimizer () |
Virtual destructor. | |
virtual VectorValues | solve (const GaussianFactorGraph &gfg, const NonlinearOptimizerParams ¶ms) const |
Default function to do linear solve, i.e. More... | |
Public Types | |
typedef boost::shared_ptr< DoglegOptimizer > | shared_ptr |
Public Types inherited from gtsam::NonlinearOptimizer | |
typedef boost::shared_ptr< const NonlinearOptimizer > | shared_ptr |
A shared pointer to this class. | |
Protected Member Functions | |
virtual const NonlinearOptimizerParams & | _params () const override |
Access the parameters (base class version) | |
DoglegParams | ensureHasOrdering (DoglegParams params, const NonlinearFactorGraph &graph) const |
Internal function for computing a COLAMD ordering if no ordering is specified. | |
Protected Member Functions inherited from gtsam::NonlinearOptimizer | |
void | defaultOptimize () |
A default implementation of the optimization loop, which calls iterate() until checkConvergence returns true. | |
NonlinearOptimizer (const NonlinearFactorGraph &graph, std::unique_ptr< internal::NonlinearOptimizerState > state) | |
Constructor for initial construction of base classes. More... | |
Protected Attributes | |
DoglegParams | params_ |
Protected Attributes inherited from gtsam::NonlinearOptimizer | |
NonlinearFactorGraph | graph_ |
The graph with nonlinear factors. | |
std::unique_ptr< internal::NonlinearOptimizerState > | state_ |
PIMPL'd state. | |
gtsam::DoglegOptimizer::DoglegOptimizer | ( | const NonlinearFactorGraph & | graph, |
const Values & | initialValues, | ||
const DoglegParams & | params = DoglegParams() |
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) |
Standard constructor, requires a nonlinear factor graph, initial variable assignments, and optimization parameters.
For convenience this version takes plain objects instead of shared pointers, but internally copies the objects.
graph | The nonlinear factor graph to optimize |
initialValues | The initial variable assignments |
params | The optimization parameters |
gtsam::DoglegOptimizer::DoglegOptimizer | ( | const NonlinearFactorGraph & | graph, |
const Values & | initialValues, | ||
const Ordering & | ordering | ||
) |
Standard constructor, requires a nonlinear factor graph, initial variable assignments, and optimization parameters.
For convenience this version takes plain objects instead of shared pointers, but internally copies the objects.
graph | The nonlinear factor graph to optimize |
initialValues | The initial variable assignments |