- _ -

• _Q_scan_ : ApproxMVBB::DiameterEstimator
• _reduction_mode_in_iterative_ : ApproxMVBB::DiameterEstimator
• _reduction_mode_of_dbleNorm_ : ApproxMVBB::DiameterEstimator
• _reduction_mode_of_diameter_ : ApproxMVBB::DiameterEstimator
• _tight_bounds_ : ApproxMVBB::DiameterEstimator
• _try_to_reduce_Q_ : ApproxMVBB::DiameterEstimator
• _verbose_when_reducing_ : ApproxMVBB::DiameterEstimator

- b -

• bits_ : FloatingPoint< RawType >::FloatingPointUnion

- c -

• c1 : ApproxMVBB::Diameter::TypeCounter
• c2 : ApproxMVBB::Diameter::TypeCounter
• childVisited : ApproxMVBB::KdTree::Tree< TTraits >::ParentInfo
• CommaSep : ApproxMVBB::MyMatrixIOFormat

- d -

• Dim : ApproxMVBB::KdTree::NearestNeighbourFilter< TTraits >
• Dimension : ApproxMVBB::KdTree::TreeTraits< TNodeData, TSplitHeuristic, TNode >::BaseTraits , ApproxMVBB::KdTree::TreeSimpleTraits< TNodeData, TNode >::BaseTraits , ApproxMVBB::KdTree::NoData< Dim > , ApproxMVBB::KdTree::PointData< TTraits > , ApproxMVBB::KdTree::DefaultPointDataTraits< Dim, TPoint, TValue, TPointGetter, TDistanceCompTraits >

- e -

• extremity1 : ApproxMVBB::Diameter::TypeSegment
• extremity2 : ApproxMVBB::Diameter::TypeSegment

- k -

• kBitCount : FloatingPoint< RawType >
• kExponentBitCount : FloatingPoint< RawType >
• kExponentBitMask : FloatingPoint< RawType >
• kFractionBitCount : FloatingPoint< RawType >
• kFractionBitMask : FloatingPoint< RawType >
• kMaxUlps : FloatingPoint< RawType >
• kSignBitMask : FloatingPoint< RawType >

- m -

• m_A_KI : ApproxMVBB::ProjectedPointSet
• m_aabb : ApproxMVBB::KdTree::NodeBase< TDerivedNode, Dimension >
• m_allowSplitAboveNPoints : ApproxMVBB::KdTree::NearestNeighbourFilter< TTraits > , ApproxMVBB::KdTree::SplitHeuristicPointData< TQualityEvaluator, Traits >
• m_angles : ApproxMVBB::MinAreaRectangle
• m_area : ApproxMVBB::MinAreaRectangle::Box2d
• m_avgExtentRatio : ApproxMVBB::KdTree::SplitHeuristicPointData< TQualityEvaluator, Traits >
• m_avgLeafSize : ApproxMVBB::KdTree::TreeStatistics
• m_avgNeighbours : ApproxMVBB::KdTree::TreeStatistics
• m_avgPointRatio : ApproxMVBB::KdTree::SplitHeuristicPointData< TQualityEvaluator, Traits >
• m_avgSplitPercentage : ApproxMVBB::KdTree::TreeStatistics
• m_avgSplitRatio : ApproxMVBB::KdTree::SplitHeuristicPointData< TQualityEvaluator, Traits >
• m_base : ApproxMVBB::PointFunctions::CompareByAngle
• m_baseIdx : ApproxMVBB::PointFunctions::CompareByAngle
• m_begin : ApproxMVBB::KdTree::PointData< TTraits >
• m_bestExtentRatio : ApproxMVBB::KdTree::SplitHeuristicPointData< TQualityEvaluator, Traits >
• m_bestMethod : ApproxMVBB::KdTree::SplitHeuristicPointData< TQualityEvaluator, Traits >
• m_bestPointRatio : ApproxMVBB::KdTree::SplitHeuristicPointData< TQualityEvaluator, Traits >
• m_bestQuality : ApproxMVBB::KdTree::SplitHeuristicPointData< TQualityEvaluator, Traits >
• m_bestSplitAxis : ApproxMVBB::KdTree::SplitHeuristicPointData< TQualityEvaluator, Traits >
• m_bestSplitPosition : ApproxMVBB::KdTree::SplitHeuristicPointData< TQualityEvaluator, Traits >
• m_bestSplitRatio : ApproxMVBB::KdTree::SplitHeuristicPointData< TQualityEvaluator, Traits >
• m_bestSplitRightIt : ApproxMVBB::KdTree::SplitHeuristicPointData< TQualityEvaluator, Traits >
• m_bound : ApproxMVBB::KdTree::NodeSimple< TTraits, PD > , ApproxMVBB::KdTree::Node< TTraits >
• m_computedNeighbourStats : ApproxMVBB::KdTree::TreeStatistics
• m_computedTreeStats : ApproxMVBB::KdTree::TreeStatistics
• m_convh : ApproxMVBB::MinAreaRectangle
• m_currAngle : ApproxMVBB::MinAreaRectangle::Caliper
• m_data : ApproxMVBB::KdTree::Node< TTraits >
• m_deletedPoints : ApproxMVBB::PointFunctions::CompareByAngle
• m_end : ApproxMVBB::KdTree::PointData< TTraits >
• m_extent : ApproxMVBB::KdTree::SplitHeuristicPointData< TQualityEvaluator, Traits >
• m_extentRatio : ApproxMVBB::KdTree::SplitHeuristicPointData< TQualityEvaluator, Traits >
• m_found : ApproxMVBB::KdTree::SplitHeuristicPointData< TQualityEvaluator, Traits >
• m_gen : ApproxMVBB::DiameterEstimator
• m_heuristic : ApproxMVBB::KdTree::Tree< TTraits >
• m_hullIdx : ApproxMVBB::MinAreaRectangle
• m_idx : ApproxMVBB::KdTree::NodeBase< TDerivedNode, Dimension > , ApproxMVBB::MinAreaRectangle::Caliper
• m_indicesCH : ApproxMVBB::ConvexHull2D
• m_kNeighboursMean : ApproxMVBB::KdTree::NearestNeighbourFilter< TTraits >
• m_leafs : ApproxMVBB::KdTree::TreeBase< Traits >
• m_max : ApproxMVBB::RandomGenerators::AlmostUniformUIntDistribution< T > , ApproxMVBB::RandomGenerators::AlmostUniformRealDistribution< T >
• m_maxLeafDataSize : ApproxMVBB::KdTree::TreeStatistics
• m_maxLeafExtent : ApproxMVBB::KdTree::TreeStatistics
• m_maxLeafs : ApproxMVBB::KdTree::Tree< TTraits >
• m_maxNeighbours : ApproxMVBB::KdTree::TreeStatistics
• m_maxPoint : ApproxMVBB::AABB< Dim > , ApproxMVBB::OOBB
• m_maxSize : ApproxMVBB::KdTree::Tree< TTraits >::KNearestPrioQueue< Container, Compare >
• m_maxTreeDepth : ApproxMVBB::KdTree::Tree< TTraits >
• m_maxZValue : ApproxMVBB::ProjectedPointSet
• m_mean : ApproxMVBB::KdTree::NearestNeighbourFilter< TTraits >
• m_method : ApproxMVBB::KdTree::SplitHeuristicPointData< TQualityEvaluator, Traits >
• m_methods : ApproxMVBB::KdTree::SplitHeuristicPointData< TQualityEvaluator, Traits >
• m_min : ApproxMVBB::RandomGenerators::AlmostUniformUIntDistribution< T > , ApproxMVBB::RandomGenerators::AlmostUniformRealDistribution< T >
• m_minBox : ApproxMVBB::MinAreaRectangle
• m_minExtent : ApproxMVBB::KdTree::SplitHeuristicPointData< TQualityEvaluator, Traits >
• m_minExtentRatio : ApproxMVBB::KdTree::SplitHeuristicPointData< TQualityEvaluator, Traits >
• m_minLeafDataSize : ApproxMVBB::KdTree::TreeStatistics
• m_minLeafExtent : ApproxMVBB::KdTree::TreeStatistics
• m_minNeighbours : ApproxMVBB::KdTree::TreeStatistics
• m_minPoint : ApproxMVBB::AABB< Dim > , ApproxMVBB::OOBB
• m_minPointRatio : ApproxMVBB::KdTree::SplitHeuristicPointData< TQualityEvaluator, Traits >
• m_minSplitRatio : ApproxMVBB::KdTree::SplitHeuristicPointData< TQualityEvaluator, Traits >
• m_minZValue : ApproxMVBB::ProjectedPointSet
• m_nearestDists : ApproxMVBB::KdTree::NearestNeighbourFilter< TTraits >
• m_nodes : ApproxMVBB::KdTree::NodeBase< TDerivedNode, Dimension >::BoundaryInformation , ApproxMVBB::KdTree::TreeBase< Traits >
• m_nRange : ApproxMVBB::RandomGenerators::AlmostUniformUIntDistribution< T > , ApproxMVBB::RandomGenerators::AlmostUniformRealDistribution< T >
• m_p : ApproxMVBB::ConvexHull2D , ApproxMVBB::MinAreaRectangle::Box2d , ApproxMVBB::MinAreaRectangle , ApproxMVBB::PointFunctions::CompareByAngle , ApproxMVBB::ProjectedPointSet
• m_parent : ApproxMVBB::KdTree::NodeBase< TDerivedNode, Dimension >
• m_pointRatio : ApproxMVBB::KdTree::SplitHeuristicPointData< TQualityEvaluator, Traits >
• m_points : ApproxMVBB::KdTree::PointData< TTraits >
• m_ptIdx : ApproxMVBB::MinAreaRectangle::Caliper
• m_q_KI : ApproxMVBB::OOBB
• m_quality : ApproxMVBB::KdTree::SplitHeuristicPointData< TQualityEvaluator, Traits >
• m_qualityEval : ApproxMVBB::KdTree::SplitHeuristicPointData< TQualityEvaluator, Traits >
• m_ref : ApproxMVBB::KdTree::DistanceComp< TPoint, TPointGetter, DistSq >
• m_root : ApproxMVBB::KdTree::TreeBase< Traits >
• m_searchCriteria : ApproxMVBB::KdTree::SplitHeuristicPointData< TQualityEvaluator, Traits >
• m_splitAxes : ApproxMVBB::KdTree::SplitHeuristicPointData< TQualityEvaluator, Traits >
• m_splitAxis : ApproxMVBB::KdTree::SplitHeuristicPointData< TQualityEvaluator, Traits > , ApproxMVBB::KdTree::NodeBase< TDerivedNode, Dimension >
• m_splitCalls : ApproxMVBB::KdTree::SplitHeuristicPointData< TQualityEvaluator, Traits >
• m_splitPosition : ApproxMVBB::KdTree::NodeBase< TDerivedNode, Dimension > , ApproxMVBB::KdTree::SplitHeuristicPointData< TQualityEvaluator, Traits >
• m_splitRatio : ApproxMVBB::KdTree::SplitHeuristicPointData< TQualityEvaluator, Traits >
• m_splitRightIt : ApproxMVBB::KdTree::SplitHeuristicPointData< TQualityEvaluator, Traits >
• m_splits : ApproxMVBB::KdTree::SplitHeuristicPointData< TQualityEvaluator, Traits >
• m_statistics : ApproxMVBB::KdTree::Tree< TTraits > , ApproxMVBB::KdTree::TreeSimple< TTraits >
• m_stdDev : ApproxMVBB::KdTree::NearestNeighbourFilter< TTraits >
• m_stdDevMult : ApproxMVBB::KdTree::NearestNeighbourFilter< TTraits >
• m_treeDepth : ApproxMVBB::KdTree::TreeStatistics
• m_treeLevel : ApproxMVBB::KdTree::NodeBase< TDerivedNode, Dimension >
• m_tries : ApproxMVBB::KdTree::SplitHeuristicPointData< TQualityEvaluator, Traits >
• m_u : ApproxMVBB::MinAreaRectangle::Box2d
• m_uL : ApproxMVBB::MinAreaRectangle::Box2d
• m_v : ApproxMVBB::MinAreaRectangle::Box2d
• m_vL : ApproxMVBB::MinAreaRectangle::Box2d
• m_wasLastTry : ApproxMVBB::KdTree::SplitHeuristicPointData< TQualityEvaluator, Traits >
• m_weightMinMaxExtentRatio : ApproxMVBB::KdTree::LinearQualityEvaluator
• m_weightPointRatio : ApproxMVBB::KdTree::LinearQualityEvaluator
• m_weightSplitRatio : ApproxMVBB::KdTree::LinearQualityEvaluator
• m_zDir : ApproxMVBB::ProjectedPointSet
• Matlab : ApproxMVBB::MyMatrixIOFormat
• max : ApproxMVBB::RandomGenerators::AlmostUniformUIntDistribution< T > , ApproxMVBB::RandomGenerators::AlmostUniformRealDistribution< T >

- n -

• n : ApproxMVBB::Diameter::TypeListOfSegments
• nalloc : ApproxMVBB::Diameter::TypeListOfSegments
• NodeBase : ApproxMVBB::KdTree::NodeBase< TDerivedNode, Dimension >

- p -

• p : ApproxMVBB::RandomGenerators::XorShift1024Star

- r -

• reduction_mode : ApproxMVBB::Diameter::TypeSegment

- s -

• s : ApproxMVBB::RandomGenerators::XorShift128Plus , ApproxMVBB::RandomGenerators::XorShift1024Star
• seg : ApproxMVBB::Diameter::TypeListOfSegments
• size : ApproxMVBB::KdTree::NodeBase< TDerivedNode, Dimension >::BoundaryInformation
• SpaceSep : ApproxMVBB::MyMatrixIOFormat
• squareDiameter : ApproxMVBB::Diameter::TypeSegment

- u -

• u_ : FloatingPoint< RawType >

- v -

• value : ApproxMVBB::KdTree::Tree< TTraits >::isKNNTraits< KNNTraits< N, C > >
• value_ : FloatingPoint< RawType >::FloatingPointUnion

- x -

• x : ApproxMVBB::RandomGenerators::SplitMix64