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MultipleValueEdge Class Reference
Inheritance diagram for MultipleValueEdge:
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Public Member Functions

 MultipleValueEdge (const FunctionObservation &obs, double omega)
 
virtual bool read (std::istream &is)
 read the vertex from a stream, i.e., the internal state of the vertex
 
virtual bool write (std::ostream &os) const
 write the vertex to a stream
 
virtual void computeError ()
 
- Public Member Functions inherited from g2o::BaseBinaryEdge< Eigen::Dynamic, Eigen::VectorXd, FPolynomialCoefficientVertex, PPolynomialCoefficientVertex >
 BaseBinaryEdge ()
 
- Public Member Functions inherited from g2o::BaseFixedSizedEdge< D, E, VertexTypes >
template<int VertexN>
constexpr std::enable_if< VertexXnType< VertexN >::Dimension!=-1, int >::type vertexDimension () const
 
template<int VertexN>
std::enable_if< VertexXnType< VertexN >::Dimension==-1, int >::type vertexDimension () const
 
template<int VertexN>
const VertexXnType< VertexN > * vertexXn () const
 
template<int VertexN>
VertexXnType< VertexN > * vertexXn ()
 
 BaseFixedSizedEdge ()
 
template<typename... CtorArgs>
OptimizableGraph::VertexcreateVertex (int i, CtorArgs... args)
 create an instance of the Nth VertexType
 
virtual void resize (size_t size)
 
template<std::size_t... Ints>
bool allVerticesFixedNs (std::index_sequence< Ints... >) const
 
virtual bool allVerticesFixed () const
 
virtual void linearizeOplus (JacobianWorkspace &jacobianWorkspace)
 
template<std::size_t... Ints>
void linearizeOplus_allocate (JacobianWorkspace &jacobianWorkspace, std::index_sequence< Ints... >)
 
virtual void linearizeOplus ()
 
template<std::size_t... Ints>
void linearizeOplusNs (std::index_sequence< Ints... >)
 
template<int N>
void linearizeOplusN ()
 
template<int N>
const std::tuple_element< N, std::tuple< JacobianType< D, VertexTypes::Dimension >... > >::type & jacobianOplusXn () const
 
template<int N>
std::tuple_element< N, std::tuple< JacobianType< D, VertexTypes::Dimension >... > >::type & jacobianOplusXn ()
 
virtual void constructQuadraticForm ()
 
template<std::size_t... Ints>
void constructQuadraticFormNs (const InformationType &omega, const ErrorVector &weightedError, std::index_sequence< Ints... >)
 
template<int N>
void constructQuadraticFormN (const InformationType &omega, const ErrorVector &weightedError)
 
template<int N, typename AtOType >
void constructOffDiagonalQuadraticFormMs (const AtOType &, std::index_sequence<>)
 
template<int N, std::size_t... Ints, typename AtOType >
void constructOffDiagonalQuadraticFormMs (const AtOType &AtO, std::index_sequence< Ints... >)
 
template<int N, int M, typename AtOType >
void constructOffDiagonalQuadraticFormM (const AtOType &AtO)
 
virtual void mapHessianMemory (double *d, int i, int j, bool rowMajor)
 
template<std::size_t... Ints>
bool allVerticesFixedNs (std::index_sequence< Ints... >) const
 
template<std::size_t... Ints>
void constructQuadraticFormNs (const InformationType &omega, const ErrorVector &weightedError, std::index_sequence< Ints... >)
 
template<int N, typename AtOType >
void constructOffDiagonalQuadraticFormMs (const AtOType &, std::index_sequence<>)
 
template<int N, std::size_t... Ints, typename AtOType >
void constructOffDiagonalQuadraticFormMs (const AtOType &AtO, std::index_sequence< Ints... >)
 
template<int N, int M, typename AtOType >
void constructOffDiagonalQuadraticFormM (const AtOType &AtO)
 
template<int N>
void constructQuadraticFormN (const InformationType &omega, const ErrorVector &weightedError)
 
template<std::size_t... Ints>
void linearizeOplus_allocate (JacobianWorkspace &jacobianWorkspace, std::index_sequence< Ints... >)
 
template<int N>
void linearizeOplusN ()
 
template<std::size_t... Ints>
void linearizeOplusNs (std::index_sequence< Ints... >)
 
- Public Member Functions inherited from g2o::BaseEdge< D, E >
 BaseEdge ()
 
BaseEdgeoperator= (const BaseEdge &)=delete
 
 BaseEdge (const BaseEdge &)=delete
 
virtual ~BaseEdge ()
 
virtual double chi2 () const
 
virtual const double * errorData () const
 returns the error vector cached after calling the computeError;
 
virtual double * errorData ()
 
const ErrorVectorerror () const
 
ErrorVectorerror ()
 
EIGEN_STRONG_INLINE const InformationTypeinformation () const
 information matrix of the constraint
 
EIGEN_STRONG_INLINE InformationTypeinformation ()
 
void setInformation (const InformationType &information)
 
virtual const double * informationData () const
 
virtual double * informationData ()
 
EIGEN_STRONG_INLINE const Measurementmeasurement () const
 accessor functions for the measurement represented by the edge
 
virtual void setMeasurement (const Measurement &m)
 
virtual int rank () const
 
virtual void initialEstimate (const OptimizableGraph::VertexSet &, OptimizableGraph::Vertex *)
 
template<int Dim = D>
std::enable_if< Dim==-1, void >::type setDimension (int dim)
 
- Public Member Functions inherited from g2o::OptimizableGraph::Edge
 Edge ()
 
virtual ~Edge ()
 
virtual bool setMeasurementData (const double *m)
 
virtual bool getMeasurementData (double *m) const
 
virtual int measurementDimension () const
 
virtual bool setMeasurementFromState ()
 
RobustKernelrobustKernel () const
 if NOT NULL, error of this edge will be robustifed with the kernel
 
void setRobustKernel (RobustKernel *ptr)
 
virtual double initialEstimatePossible (const OptimizableGraph::VertexSet &from, OptimizableGraph::Vertex *to)
 
int level () const
 returns the level of the edge
 
void setLevel (int l)
 sets the level of the edge
 
int dimension () const
 returns the dimensions of the error function
 
 G2O_ATTRIBUTE_DEPRECATED (virtual Vertex *createFrom())
 
 G2O_ATTRIBUTE_DEPRECATED (virtual Vertex *createTo())
 
virtual VertexcreateVertex (int)
 
long long internalId () const
 the internal ID of the edge
 
OptimizableGraphgraph ()
 
const OptimizableGraphgraph () const
 
bool setParameterId (int argNum, int paramId)
 
const Parameterparameter (int argNo) const
 
size_t numParameters () const
 
void resizeParameters (size_t newSize)
 
- Public Member Functions inherited from g2o::HyperGraph::Edge
 Edge (int id=InvalidId)
 creates and empty edge with no vertices
 
const VertexContainervertices () const
 
VertexContainervertices ()
 
const Vertexvertex (size_t i) const
 
Vertexvertex (size_t i)
 
void setVertex (size_t i, Vertex *v)
 
int id () const
 
void setId (int id)
 
virtual HyperGraphElementType elementType () const
 
int numUndefinedVertices () const
 
- Public Member Functions inherited from g2o::HyperGraph::HyperGraphElement
virtual ~HyperGraphElement ()
 
- Public Member Functions inherited from g2o::HyperGraph::DataContainer
 DataContainer ()
 
virtual ~DataContainer ()
 
const DatauserData () const
 the user data associated with this vertex
 
DatauserData ()
 
void setUserData (Data *obs)
 
void addUserData (Data *obs)
 

Public Attributes

 EIGEN_MAKE_ALIGNED_OPERATOR_NEW
 

Private Attributes

Eigen::VectorXd _x
 

Additional Inherited Members

- Public Types inherited from g2o::BaseBinaryEdge< Eigen::Dynamic, Eigen::VectorXd, FPolynomialCoefficientVertex, PPolynomialCoefficientVertex >
using VertexXiType = FPolynomialCoefficientVertex
 
using VertexXjType = PPolynomialCoefficientVertex
 
- Public Types inherited from g2o::BaseFixedSizedEdge< D, E, VertexTypes >
template<int N, typename... Types>
using NthType = typename std::tuple_element< N, std::tuple< Types... > >::type
 
template<int VertexN>
using VertexXnType = NthType< VertexN, VertexTypes... >
 The type of the N-th vertex.
 
typedef BaseEdge< D, E >::Measurement Measurement
 
typedef BaseEdge< D, E >::ErrorVector ErrorVector
 
typedef BaseEdge< D, E >::InformationType InformationType
 
template<int EdgeDimension, int VertexDimension>
using JacobianType = typename Eigen::Matrix< double, EdgeDimension, VertexDimension, EdgeDimension==1 ? Eigen::RowMajor :Eigen::ColMajor >::AlignedMapType
 
template<int DN, int DM>
using HessianBlockType = Eigen::Map< Eigen::Matrix< double, DN, DM, DN==1 ? Eigen::RowMajor :Eigen::ColMajor >, Eigen::Matrix< double, DN, DM, DN==1 ? Eigen::RowMajor :Eigen::ColMajor >::Flags &Eigen::PacketAccessBit ? Eigen::Aligned :Eigen::Unaligned >
 it requires quite some ugly code to get the type of hessians...
 
template<int K>
using HessianBlockTypeK = HessianBlockType< VertexXnType< internal::index_to_pair(K).first >::Dimension, VertexXnType< internal::index_to_pair(K).second >::Dimension >
 
template<int K>
using HessianBlockTypeKTransposed = HessianBlockType< VertexXnType< internal::index_to_pair(K).second >::Dimension, VertexXnType< internal::index_to_pair(K).first >::Dimension >
 
using HessianTuple = typename HessianTupleType< std::make_index_sequence< _nr_of_vertex_pairs > >::type
 
using HessianTupleTransposed = typename HessianTupleType< std::make_index_sequence< _nr_of_vertex_pairs > >::typeTransposed
 
using HessianRowMajorStorage = std::array< bool, _nr_of_vertex_pairs >
 
- Public Types inherited from g2o::BaseEdge< D, E >
typedef E Measurement
 
typedef internal::BaseEdgeTraits< D >::ErrorVector ErrorVector
 
typedef internal::BaseEdgeTraits< D >::InformationType InformationType
 
- Static Public Member Functions inherited from g2o::BaseFixedSizedEdge< D, E, VertexTypes >
template<int VertexN>
static constexpr int VertexDimension ()
 Size of the N-th vertex at compile time.
 
- Static Public Attributes inherited from g2o::BaseFixedSizedEdge< D, E, VertexTypes >
static const int Dimension = BaseEdge<D, E>::Dimension
 
static const std::size_t _nr_of_vertices = sizeof...(VertexTypes)
 
static const std::size_t _nr_of_vertex_pairs
 
- Static Public Attributes inherited from g2o::BaseEdge< D, E >
static constexpr int Dimension = internal::BaseEdgeTraits<D>::Dimension
 
- Protected Member Functions inherited from g2o::BaseEdge< D, E >
InformationType robustInformation (const Vector3 &rho) const
 
bool writeInformationMatrix (std::ostream &os) const
 write the upper trinagular part of the information matrix into the stream
 
bool readInformationMatrix (std::istream &is)
 
bool writeParamIds (std::ostream &os) const
 write the param IDs that are potentially used by the edge
 
bool readParamIds (std::istream &is)
 reads the param IDs from the stream
 
- Protected Member Functions inherited from g2o::OptimizableGraph::Edge
template<typename ParameterType >
bool installParameter (ParameterType *&p, size_t argNo, int paramId=-1)
 
template<typename CacheType >
void resolveCache (CacheType *&cache, OptimizableGraph::Vertex *, const std::string &_type, const ParameterVector &parameters)
 
bool resolveParameters ()
 
virtual bool resolveCaches ()
 
- Protected Attributes inherited from g2o::BaseBinaryEdge< Eigen::Dynamic, Eigen::VectorXd, FPolynomialCoefficientVertex, PPolynomialCoefficientVertex >
BaseFixedSizedEdge< D, Eigen::VectorXd, FPolynomialCoefficientVertex, PPolynomialCoefficientVertex >::template JacobianType< D, VertexXi::Dimension > & _jacobianOplusXi
 
BaseFixedSizedEdge< D, Eigen::VectorXd, FPolynomialCoefficientVertex, PPolynomialCoefficientVertex >::template JacobianType< D, VertexXj::Dimension > & _jacobianOplusXj
 
- Protected Attributes inherited from g2o::BaseFixedSizedEdge< D, E, VertexTypes >
HessianRowMajorStorage _hessianRowMajor
 
HessianTuple _hessianTuple
 
HessianTupleTransposed _hessianTupleTransposed
 
std::tuple< JacobianType< D, VertexTypes::Dimension >... > _jacobianOplus
 
- Protected Attributes inherited from g2o::BaseEdge< D, E >
Measurement _measurement
 the measurement of the edge
 
InformationType _information
 
ErrorVector _error
 
- Protected Attributes inherited from g2o::OptimizableGraph::Edge
int _dimension
 
int _level
 
RobustKernel_robustKernel
 
long long _internalId
 
std::vector< int > _cacheIds
 
std::vector< std::string > _parameterTypes
 
std::vector< Parameter ** > _parameters
 
std::vector< int > _parameterIds
 
- Protected Attributes inherited from g2o::HyperGraph::Edge
VertexContainer _vertices
 
int _id
 unique id
 
- Protected Attributes inherited from g2o::HyperGraph::DataContainer
Data_userData
 

Detailed Description

Definition at line 124 of file static_dynamic_function_fit.cpp.

Constructor & Destructor Documentation

◆ MultipleValueEdge()

MultipleValueEdge::MultipleValueEdge ( const FunctionObservation obs,
double  omega 
)
inline

Definition at line 131 of file static_dynamic_function_fit.cpp.

131 : _x(obs.x) {
132 setDimension(obs.z.size());
133 setMeasurement(obs.z);
134 InformationType I = Eigen::MatrixXd::Identity(_x.size(), _x.size()) * omega;
136 }
virtual void setMeasurement(const Measurement &m)
Definition base_edge.h:122
void setInformation(const InformationType &information)
Definition base_edge.h:111
std::enable_if< Dim==-1, void >::type setDimension(int dim)
Definition base_edge.h:139
BaseEdge< D, E >::InformationType InformationType

References _x, g2o::BaseEdge< D, E >::setDimension(), g2o::BaseEdge< D, E >::setInformation(), g2o::BaseEdge< D, E >::setMeasurement(), and FunctionObservation::z.

Member Function Documentation

◆ computeError()

virtual void MultipleValueEdge::computeError ( )
inlinevirtual

Implements g2o::OptimizableGraph::Edge.

Definition at line 154 of file static_dynamic_function_fit.cpp.

154 {
155 const FPolynomialCoefficientVertex* fvertex =
156 dynamic_cast<const FPolynomialCoefficientVertex*>(_vertices[0]);
157 const PPolynomialCoefficientVertex* pvertex =
158 dynamic_cast<const PPolynomialCoefficientVertex*>(_vertices[1]);
159 for (int i = 0; i < _measurement.size(); ++i) {
160 double x3 = pow(_x[i], 3);
161 _error[i] = _measurement[i] -
162 Eigen::poly_eval(fvertex->estimate(), _x[i]) -
163 x3 * (Eigen::poly_eval(pvertex->estimate(), _x[i]));
164 }
165 }
Measurement _measurement
the measurement of the edge
Definition base_edge.h:146
ErrorVector _error
Definition base_edge.h:149
const EstimateType & estimate() const
return the current estimate of the vertex
VertexContainer _vertices
Jet< T, N > pow(const Jet< T, N > &f, double g)
Definition jet.h:743

References g2o::BaseEdge< D, E >::_error, g2o::BaseEdge< D, E >::_measurement, g2o::HyperGraph::Edge::_vertices, _x, and g2o::BaseVertex< D, T >::estimate().

◆ read()

virtual bool MultipleValueEdge::read ( std::istream &  is)
inlinevirtual

read the vertex from a stream, i.e., the internal state of the vertex

Implements g2o::OptimizableGraph::Edge.

Definition at line 138 of file static_dynamic_function_fit.cpp.

138 {
139 Eigen::VectorXd z;
143
144 return readInformationMatrix(is);
145 }
bool readInformationMatrix(std::istream &is)
Definition base_edge.h:173
bool readVector(std::istream &is, Eigen::DenseBase< Derived > &b)
Definition io_helper.h:42

References _x, g2o::BaseEdge< D, E >::readInformationMatrix(), g2o::internal::readVector(), and g2o::BaseEdge< D, E >::setMeasurement().

◆ write()

virtual bool MultipleValueEdge::write ( std::ostream &  os) const
inlinevirtual

write the vertex to a stream

Implements g2o::OptimizableGraph::Edge.

Definition at line 147 of file static_dynamic_function_fit.cpp.

147 {
150 return writeInformationMatrix(os);
151 }
bool writeInformationMatrix(std::ostream &os) const
write the upper trinagular part of the information matrix into the stream
Definition base_edge.h:165
bool writeVector(std::ostream &os, const Eigen::DenseBase< Derived > &b)
Definition io_helper.h:36

References g2o::BaseEdge< D, E >::_measurement, _x, g2o::BaseEdge< D, E >::writeInformationMatrix(), and g2o::internal::writeVector().

Member Data Documentation

◆ _x

Eigen::VectorXd MultipleValueEdge::_x
private

Definition at line 169 of file static_dynamic_function_fit.cpp.

Referenced by computeError(), MultipleValueEdge(), read(), and write().

◆ EIGEN_MAKE_ALIGNED_OPERATOR_NEW

MultipleValueEdge::EIGEN_MAKE_ALIGNED_OPERATOR_NEW

Definition at line 129 of file static_dynamic_function_fit.cpp.


The documentation for this class was generated from the following file: