Class representing gaussian vector. More...
#include <gaussian_vector.h>
Public Member Functions | |
| virtual GaussianVector * | Clone () const |
| virtual MatrixWrapper::SymmetricMatrix | CovarianceGet () const |
| virtual tf::Vector3 | ExpectedValueGet () const |
| GaussianVector (const tf::Vector3 &mu, const tf::Vector3 &sigma) | |
| Constructor. | |
| virtual Probability | ProbabilityGet (const tf::Vector3 &input) const |
| bool | SampleFrom (vector< Sample< tf::Vector3 > > &list_samples, const int num_samples, int method=DEFAULT, void *args=NULL) const |
| virtual bool | SampleFrom (Sample< tf::Vector3 > &one_sample, int method=DEFAULT, void *args=NULL) const |
| void | sigmaSet (const tf::Vector3 &sigma) |
| virtual | ~GaussianVector () |
| Destructor. | |
Private Attributes | |
| tf::Vector3 | mu_ |
| tf::Vector3 | sigma_ |
| bool | sigma_changed_ |
| tf::Vector3 | sigma_sq_ |
| double | sqrt_ |
Friends | |
| std::ostream & | operator<< (std::ostream &os, const GaussianVector &g) |
| output stream for GaussianVector | |
Detailed Description
Class representing gaussian vector.
Definition at line 48 of file gaussian_vector.h.
Constructor & Destructor Documentation
| BFL::GaussianVector::GaussianVector | ( | const tf::Vector3 & | mu, |
| const tf::Vector3 & | sigma | ||
| ) |
Constructor.
Definition at line 46 of file gaussian_vector.cpp.
| BFL::GaussianVector::~GaussianVector | ( | ) | [virtual] |
Destructor.
Definition at line 57 of file gaussian_vector.cpp.
Member Function Documentation
| GaussianVector * BFL::GaussianVector::Clone | ( | ) | const [virtual] |
Implements BFL::Pdf< tf::Vector3 >.
Definition at line 131 of file gaussian_vector.cpp.
| SymmetricMatrix BFL::GaussianVector::CovarianceGet | ( | ) | const [virtual] |
Reimplemented from BFL::Pdf< tf::Vector3 >.
Definition at line 121 of file gaussian_vector.cpp.
| Vector3 BFL::GaussianVector::ExpectedValueGet | ( | ) | const [virtual] |
Reimplemented from BFL::Pdf< tf::Vector3 >.
Definition at line 115 of file gaussian_vector.cpp.
| Probability BFL::GaussianVector::ProbabilityGet | ( | const tf::Vector3 & | input | ) | const [virtual] |
Reimplemented from BFL::Pdf< tf::Vector3 >.
Definition at line 73 of file gaussian_vector.cpp.
| bool BFL::GaussianVector::SampleFrom | ( | vector< Sample< tf::Vector3 > > & | list_samples, |
| const int | num_samples, | ||
| int | method = DEFAULT, |
||
| void * | args = NULL |
||
| ) | const |
Definition at line 93 of file gaussian_vector.cpp.
| bool BFL::GaussianVector::SampleFrom | ( | Sample< tf::Vector3 > & | one_sample, |
| int | method = DEFAULT, |
||
| void * | args = NULL |
||
| ) | const [virtual] |
Reimplemented from BFL::Pdf< tf::Vector3 >.
Definition at line 105 of file gaussian_vector.cpp.
| void BFL::GaussianVector::sigmaSet | ( | const tf::Vector3 & | sigma | ) |
Definition at line 67 of file gaussian_vector.cpp.
Friends And Related Function Documentation
| std::ostream& operator<< | ( | std::ostream & | os, |
| const GaussianVector & | g | ||
| ) | [friend] |
output stream for GaussianVector
Definition at line 60 of file gaussian_vector.cpp.
Member Data Documentation
tf::Vector3 BFL::GaussianVector::mu_ [private] |
Definition at line 51 of file gaussian_vector.h.
tf::Vector3 BFL::GaussianVector::sigma_ [private] |
Definition at line 51 of file gaussian_vector.h.
bool BFL::GaussianVector::sigma_changed_ [mutable, private] |
Definition at line 54 of file gaussian_vector.h.
tf::Vector3 BFL::GaussianVector::sigma_sq_ [mutable, private] |
Definition at line 53 of file gaussian_vector.h.
double BFL::GaussianVector::sqrt_ [mutable, private] |
Definition at line 52 of file gaussian_vector.h.
The documentation for this class was generated from the following files: