GTSAM  4.0.2
C++ library for smoothing and mapping (SAM)
Public Types | Public Member Functions | Public Attributes | Protected Attributes | List of all members
gtsam::BayesTreeCliqueBase< DERIVED, FACTORGRAPH > Class Template Reference

#include <BayesTreeCliqueBase.h>

Public Types

typedef FACTORGRAPH FactorGraphType
 
typedef EliminationTraitsType::BayesNetType BayesNetType
 
typedef BayesNetType::ConditionalType ConditionalType
 
typedef std::shared_ptr< ConditionalType > sharedConditional
 
typedef FactorGraphType::FactorType FactorType
 
typedef FactorGraphType::Eliminate Eliminate
 

Public Member Functions

void setEliminationResult (const typename FactorGraphType::EliminationResult &eliminationResult)
 

Public Attributes

sharedConditional conditional_
 
derived_weak_ptr parent_
 
FastVector< derived_ptr > children
 
int problemSize_
 
bool is_root = false
 

Protected Attributes

std::optional< FactorGraphType > cachedSeparatorMarginal_
 This stores the Cached separator marginal P(S)
 
std::mutex cachedSeparatorMarginalMutex_
 

Standard Constructors

 BayesTreeCliqueBase ()
 Default constructor.
 
 BayesTreeCliqueBase (const sharedConditional &conditional)
 
 BayesTreeCliqueBase (const BayesTreeCliqueBase &c)
 Shallow copy constructor.
 
BayesTreeCliqueBaseoperator= (const BayesTreeCliqueBase &c)
 Shallow copy assignment constructor.
 
virtual ~BayesTreeCliqueBase ()
 

Testable

bool equals (const DERIVED &other, double tol=1e-9) const
 
virtual void print (const std::string &s="", const KeyFormatter &keyFormatter=DefaultKeyFormatter) const
 

Standard Interface

const sharedConditional & conditional () const
 
bool isRoot () const
 
size_t treeSize () const
 
size_t numCachedSeparatorMarginals () const
 
derived_ptr parent () const
 
int problemSize () const
 

Advanced Interface

class BayesTree< DerivedType >
 
KeyVector separator_setminus_B (const derived_ptr &B) const
 Calculate set \( S \setminus B \) for shortcut calculations.
 
KeyVector shortcut_indices (const derived_ptr &B, const FactorGraphType &p_Cp_B) const
 
void deleteCachedShortcutsNonRecursive ()
 
BayesNetType shortcut (const derived_ptr &root, Eliminate function=EliminationTraitsType::DefaultEliminate) const
 
FactorGraphType separatorMarginal (Eliminate function=EliminationTraitsType::DefaultEliminate) const
 
FactorGraphType marginal2 (Eliminate function=EliminationTraitsType::DefaultEliminate) const
 
void deleteCachedShortcuts ()
 
const std::optional< FactorGraphType > & cachedSeparatorMarginal () const
 

Detailed Description

template<class DERIVED, class FACTORGRAPH>
class gtsam::BayesTreeCliqueBase< DERIVED, FACTORGRAPH >

This is the base class for BayesTree cliques. The default and standard derived type is BayesTreeClique, but some algorithms, like iSAM2, use a different clique type in order to store extra data along with the clique.

This class is templated on the derived class (i.e. the curiously recursive template pattern). The advantage of this over using virtual classes is that it avoids the need for casting to get the derived type. This is possible because all cliques in a BayesTree are the same type - if they were not then we'd need a virtual class.

Template Parameters
DERIVEDThe derived clique type.
CONDITIONALThe conditional type.

Constructor & Destructor Documentation

◆ BayesTreeCliqueBase()

template<class DERIVED, class FACTORGRAPH>
gtsam::BayesTreeCliqueBase< DERIVED, FACTORGRAPH >::BayesTreeCliqueBase ( const sharedConditional &  conditional)
inlineprotected

Construct from a conditional, leaving parent and child pointers uninitialized.

Member Function Documentation

◆ conditional()

template<class DERIVED, class FACTORGRAPH>
const sharedConditional& gtsam::BayesTreeCliqueBase< DERIVED, FACTORGRAPH >::conditional ( ) const
inline

Access the conditional

◆ deleteCachedShortcuts()

template<class DERIVED , class FACTORGRAPH >
void gtsam::BayesTreeCliqueBase< DERIVED, FACTORGRAPH >::deleteCachedShortcuts ( )

This deletes the cached shortcuts of all cliques (subtree) below this clique. This is performed when the bayes tree is modified.

◆ deleteCachedShortcutsNonRecursive()

template<class DERIVED, class FACTORGRAPH>
void gtsam::BayesTreeCliqueBase< DERIVED, FACTORGRAPH >::deleteCachedShortcutsNonRecursive ( )
inlineprotected

Non-recursive delete cached shortcuts and marginals - internal only.

◆ equals()

template<class DERIVED, class FACTORGRAPH >
bool gtsam::BayesTreeCliqueBase< DERIVED, FACTORGRAPH >::equals ( const DERIVED &  other,
double  tol = 1e-9 
) const

check equality

◆ isRoot()

template<class DERIVED, class FACTORGRAPH>
bool gtsam::BayesTreeCliqueBase< DERIVED, FACTORGRAPH >::isRoot ( ) const
inline

is this the root of a Bayes tree ?

◆ marginal2()

template<class DERIVED , class FACTORGRAPH >
BayesTreeCliqueBase< DERIVED, FACTORGRAPH >::FactorGraphType gtsam::BayesTreeCliqueBase< DERIVED, FACTORGRAPH >::marginal2 ( Eliminate  function = EliminationTraitsType::DefaultEliminate) const

return the marginal P(C) of the clique, using marginal caching

◆ numCachedSeparatorMarginals()

template<class DERIVED , class FACTORGRAPH >
size_t gtsam::BayesTreeCliqueBase< DERIVED, FACTORGRAPH >::numCachedSeparatorMarginals ( ) const

Collect number of cliques with cached separator marginals

◆ parent()

template<class DERIVED, class FACTORGRAPH>
derived_ptr gtsam::BayesTreeCliqueBase< DERIVED, FACTORGRAPH >::parent ( ) const
inline

return a shared_ptr to the parent clique

◆ print()

template<class DERIVED , class FACTORGRAPH >
void gtsam::BayesTreeCliqueBase< DERIVED, FACTORGRAPH >::print ( const std::string &  s = "",
const KeyFormatter keyFormatter = DefaultKeyFormatter 
) const
virtual

print this node

Reimplemented in gtsam::ISAM2Clique.

◆ problemSize()

template<class DERIVED, class FACTORGRAPH>
int gtsam::BayesTreeCliqueBase< DERIVED, FACTORGRAPH >::problemSize ( ) const
inline

Problem size (used for parallel traversal)

◆ separatorMarginal()

template<class DERIVED , class FACTORGRAPH >
BayesTreeCliqueBase< DERIVED, FACTORGRAPH >::FactorGraphType gtsam::BayesTreeCliqueBase< DERIVED, FACTORGRAPH >::separatorMarginal ( Eliminate  function = EliminationTraitsType::DefaultEliminate) const

return the marginal P(S) on the separator

◆ setEliminationResult()

template<class DERIVED , class FACTORGRAPH >
void gtsam::BayesTreeCliqueBase< DERIVED, FACTORGRAPH >::setEliminationResult ( const typename FactorGraphType::EliminationResult &  eliminationResult)

Fill the elimination result produced during elimination. Here this just stores the conditional and ignores the remaining factor, but this is overridden in ISAM2Clique to also cache the remaining factor.

◆ shortcut()

template<class DERIVED , class FACTORGRAPH >
BayesTreeCliqueBase< DERIVED, FACTORGRAPH >::BayesNetType gtsam::BayesTreeCliqueBase< DERIVED, FACTORGRAPH >::shortcut ( const derived_ptr &  root,
Eliminate  function = EliminationTraitsType::DefaultEliminate 
) const

return the conditional P(S|Root) on the separator given the root

◆ shortcut_indices()

template<class DERIVED , class FACTORGRAPH >
KeyVector gtsam::BayesTreeCliqueBase< DERIVED, FACTORGRAPH >::shortcut_indices ( const derived_ptr &  B,
const FactorGraphType &  p_Cp_B 
) const
protected

Determine variable indices to keep in recursive separator shortcut calculation The factor graph p_Cp_B has keys from the parent clique Cp and from B. But we only keep the variables not in S union B.

◆ treeSize()

template<class DERIVED , class FACTORGRAPH >
size_t gtsam::BayesTreeCliqueBase< DERIVED, FACTORGRAPH >::treeSize ( ) const

The size of subtree rooted at this clique, i.e., nr of Cliques

Member Data Documentation

◆ cachedSeparatorMarginalMutex_

template<class DERIVED, class FACTORGRAPH>
std::mutex gtsam::BayesTreeCliqueBase< DERIVED, FACTORGRAPH >::cachedSeparatorMarginalMutex_
mutableprotected

This protects Cached seperator marginal P(S) from concurrent read/writes as many the functions which access it are const (hence the mutable) leading to the false impression that these const functions are thread-safe which is not true due to these mutable values. This is fixed by applying this mutex.


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