optimization_algorithm_dogleg.h
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26 
27 #ifndef G2O_OPTIMIZATION_ALGORITHM_DOGLEG_H
28 #define G2O_OPTIMIZATION_ALGORITHM_DOGLEG_H
29 
31 
32 namespace g2o {
33 
34  class BlockSolverBase;
35 
40  {
41  public:
43  enum {
46  };
47 
48  public:
55 
56  virtual SolverResult solve(int iteration, bool online = false);
57 
58  virtual void printVerbose(std::ostream& os) const;
59 
61  int lastStep() const { return _lastStep;}
63  double trustRegion() const { return _delta;}
64 
66  static const char* stepType2Str(int stepType);
67 
68  protected:
69  // parameters
72  // damping to enforce positive definite matrix
75 
76  Eigen::VectorXd _hsd;
77  Eigen::VectorXd _hdl;
78  Eigen::VectorXd _auxVector;
79 
80  double _currentLambda;
81  double _delta;
82  int _lastStep;
85  };
86 
87 } // end namespace
88 
89 #endif
static const char * stepType2Str(int stepType)
convert the type into an integer
Eigen::VectorXd _hdl
final dogleg step
bool _wasPDInAllIterations
the matrix we solve was positive definite in all iterations -> if not apply damping ...
double trustRegion() const
return the diameter of the trust region
Eigen::VectorXd _hsd
steepest decent step
Base for solvers operating on the approximated Hessian, e.g., Gauss-Newton, Levenberg.
Solver * solver()
return the underlying solver used to solve the linear system
double _currentLambda
the damping factor to force positive definite matrix
int lastStep() const
return the type of the last step taken by the algorithm
Implementation of Powell's Dogleg Algorithm.
virtual SolverResult solve(int iteration, bool online=false)
Eigen::VectorXd _auxVector
auxilary vector used to perform multiplications or other stuff
virtual void printVerbose(std::ostream &os) const
int _lastStep
type of the step taken by the algorithm
base for the block solvers with some basic function interfaces
Definition: block_solver.h:83


orb_slam2_ros
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autogenerated on Mon Feb 28 2022 23:03:52