Bayesian Filtering Library  Generated from SVN r
MCPdf< T > Member List

This is the complete list of members for MCPdf< T >, including all inherited members.

_CumPDFMCPdf< T >protected
_listOfSamplesMCPdf< T >protected
_SumWeightsMCPdf< T >protected
Clone() constMCPdf< T >virtual
CovarianceGet() constMCPdf< T >virtual
CumPDFUpdate()MCPdf< T >protected
CumulativePDFGet()MCPdf< T >
DimensionGet() constPdf< T >inline
DimensionSet(unsigned int dim)Pdf< T >virtual
ExpectedValueGet() constMCPdf< T >virtual
ListOfSamplesGet() constMCPdf< T >
ListOfSamplesSet(const vector< WeightedSample< T > > &list_of_samples)MCPdf< T >
ListOfSamplesSet(const vector< Sample< T > > &list_of_samples)MCPdf< T >
ListOfSamplesUpdate(const vector< WeightedSample< T > > &list_of_samples)MCPdf< T >
ListOfSamplesUpdate(const vector< Sample< T > > &list_of_samples)MCPdf< T >
MCPdf(unsigned int num_samples=0, unsigned int dimension=0)MCPdf< T >
MCPdf(const MCPdf< T > &)MCPdf< T >
NormalizeWeights()MCPdf< T >protected
NumSamplesGet() constMCPdf< T >
NumSamplesSet(unsigned int num_samples)MCPdf< T >
Pdf(unsigned int dimension=0)Pdf< T >
ProbabilityGet(const T &input) constPdf< T >virtual
SampleFrom(Sample< T > &one_sample, int method=DEFAULT, void *args=NULL) const (defined in MCPdf< T >)MCPdf< T >
SampleFrom(vector< Sample< T > > &list_samples, const unsigned int num_samples, int method=DEFAULT, void *args=NULL) const (defined in MCPdf< T >)MCPdf< T >
BFL::BFL::Pdf::SampleFrom(vector< Sample< T > > &list_samples, const unsigned int num_samples, int method=DEFAULT, void *args=NULL) constPdf< T >virtual
BFL::BFL::Pdf::SampleFrom(Sample< T > &one_sample, int method=DEFAULT, void *args=NULL) constPdf< T >virtual
SampleGet(unsigned int i) constMCPdf< T >
SumWeightsUpdate()MCPdf< T >protected
~MCPdf()MCPdf< T >virtual
~Pdf()Pdf< T >virtual