optimization_algorithm_with_hessian.h
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1 // g2o - General Graph Optimization
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26 
27 #ifndef G2O_OPTIMIZATION_ALGORITHM_WITH_HESSIAN_H
28 #define G2O_OPTIMIZATION_ALGORITHM_WITH_HESSIAN_H
29 
30 #include "optimization_algorithm.h"
31 
32 namespace g2o {
33 
34  class Solver;
35 
40  {
41  public:
44 
45  virtual bool init(bool online = false);
46 
47  virtual bool computeMarginals(SparseBlockMatrix<MatrixXd>& spinv, const std::vector<std::pair<int, int> >& blockIndices);
48 
49  virtual bool buildLinearStructure();
50 
51  virtual void updateLinearSystem();
52 
53  virtual bool updateStructure(const std::vector<HyperGraph::Vertex*>& vset, const HyperGraph::EdgeSet& edges);
54 
56  Solver* solver() { return _solver;}
57 
61  virtual void setWriteDebug(bool writeDebug);
62  virtual bool writeDebug() const { return _writeDebug->value();}
63 
64  protected:
67 
68  };
69 
70 }// end namespace
71 
72 #endif
virtual bool updateStructure(const std::vector< HyperGraph::Vertex * > &vset, const HyperGraph::EdgeSet &edges)
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
std::set< Edge * > EdgeSet
Definition: hyper_graph.h:90
Generic interface for a sparse solver operating on a graph which solves one iteration of the lineariz...
Definition: solver.h:43
virtual bool computeMarginals(SparseBlockMatrix< MatrixXd > &spinv, const std::vector< std::pair< int, int > > &blockIndices)
const T & value() const
Definition: property.h:56
Generic interface for a non-linear solver operating on a graph.
Sparse matrix which uses blocks.


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autogenerated on Wed Apr 21 2021 02:53:05