Bayesian Filtering Library Generated from SVN r
ConditionalGaussianAdditiveNoise Member List

This is the complete list of members for ConditionalGaussianAdditiveNoise, including all inherited members.

_additiveNoise_MuConditionalGaussianAdditiveNoiseprotected
_additiveNoise_SigmaConditionalGaussianAdditiveNoiseprotected
_diff (defined in ConditionalGaussian)ConditionalGaussianmutableprotected
_Low_triangle (defined in ConditionalGaussian)ConditionalGaussianmutableprotected
_Mu (defined in ConditionalGaussian)ConditionalGaussianmutableprotected
_samples (defined in ConditionalGaussian)ConditionalGaussianmutableprotected
_SampleValue (defined in ConditionalGaussian)ConditionalGaussianmutableprotected
AdditiveNoiseMuGet() constConditionalGaussianAdditiveNoise
AdditiveNoiseMuSet(const MatrixWrapper::ColumnVector &mu)ConditionalGaussianAdditiveNoise
AdditiveNoiseSigmaGet() constConditionalGaussianAdditiveNoise
AdditiveNoiseSigmaSet(const MatrixWrapper::SymmetricMatrix &sigma)ConditionalGaussianAdditiveNoise
Clone() constConditionalGaussianvirtual
ConditionalArgumentGet(unsigned int n_argument) constConditionalPdf< MatrixWrapper::ColumnVector, MatrixWrapper::ColumnVector >
ConditionalArgumentSet(unsigned int n_argument, const MatrixWrapper::ColumnVector &argument)ConditionalPdf< MatrixWrapper::ColumnVector, MatrixWrapper::ColumnVector >virtual
ConditionalArgumentsGet() constConditionalPdf< MatrixWrapper::ColumnVector, MatrixWrapper::ColumnVector >
ConditionalArgumentsSet(std::vector< MatrixWrapper::ColumnVector > ConditionalArguments)ConditionalPdf< MatrixWrapper::ColumnVector, MatrixWrapper::ColumnVector >virtual
ConditionalGaussian(int dim=0, int num_conditional_arguments=0)ConditionalGaussian
ConditionalGaussianAdditiveNoise(const Gaussian &gaus, int num_conditional_arguments=1)ConditionalGaussianAdditiveNoise
ConditionalGaussianAdditiveNoise(int dim=0, int num_conditional_arguments=0)ConditionalGaussianAdditiveNoise
ConditionalPdf(int dimension=0, unsigned int num_conditional_arguments=0)ConditionalPdf< MatrixWrapper::ColumnVector, MatrixWrapper::ColumnVector >
CovarianceGet() constConditionalGaussianAdditiveNoisevirtual
DimensionGet() constPdf< MatrixWrapper::ColumnVector >inline
DimensionSet(unsigned int dim)Pdf< MatrixWrapper::ColumnVector >virtual
ExpectedValueGet() constPdf< MatrixWrapper::ColumnVector >virtual
NumConditionalArgumentsGet() constConditionalPdf< MatrixWrapper::ColumnVector, MatrixWrapper::ColumnVector >inline
NumConditionalArgumentsSet(unsigned int numconditionalarguments)ConditionalPdf< MatrixWrapper::ColumnVector, MatrixWrapper::ColumnVector >inlinevirtual
Pdf(unsigned int dimension=0)Pdf< MatrixWrapper::ColumnVector >
ProbabilityGet(const MatrixWrapper::ColumnVector &input) constConditionalGaussianvirtual
SampleFrom(Sample< MatrixWrapper::ColumnVector > &sample, const SampleMthd method=SampleMthd::DEFAULT, void *args=NULL) constConditionalGaussianvirtual
SampleFrom(std::vector< Sample< MatrixWrapper::ColumnVector > > &samples, const unsigned int num_samples, const SampleMthd method=SampleMthd::DEFAULT, void *args=NULL) const (defined in ConditionalGaussian)ConditionalGaussianvirtual
BFL::ConditionalPdf< MatrixWrapper::ColumnVector, MatrixWrapper::ColumnVector >::SampleFrom(vector< Sample< MatrixWrapper::ColumnVector > > &list_samples, const unsigned int num_samples, const SampleMthd method=SampleMthd::DEFAULT, void *args=NULL) constPdf< MatrixWrapper::ColumnVector >virtual
~ConditionalGaussian()ConditionalGaussianvirtual
~ConditionalGaussianAdditiveNoise()ConditionalGaussianAdditiveNoisevirtual
~ConditionalPdf()ConditionalPdf< MatrixWrapper::ColumnVector, MatrixWrapper::ColumnVector >virtual
~Pdf()Pdf< MatrixWrapper::ColumnVector >virtual