A projection matrix – it allows multiplication of real vectors by a specified matrix. The matrix can also be randomly generated. More...
#include <ompl/base/ProjectionEvaluator.h>
Public Types | |
using | Matrix = Eigen::MatrixXd |
Datatype for projection matrices. | |
Public Member Functions | |
void | computeRandom (unsigned int from, unsigned int to, const std::vector< double > &scale) |
Wrapper for ComputeRandom(from, to, scale) | |
void | computeRandom (unsigned int from, unsigned int to) |
Wrapper for ComputeRandom(from, to) | |
void | project (const double *from, Eigen::Ref< Eigen::VectorXd > to) const |
Multiply the vector from by the contained projection matrix to obtain the vector to. | |
void | print (std::ostream &out=std::cout) const |
Print the contained projection matrix to a stram. | |
Static Public Member Functions | |
static Matrix | ComputeRandom (unsigned int from, unsigned int to, const std::vector< double > &scale) |
Compute a random projection matrix with from columns and to rows. A vector with from elements can be multiplied by this matrix in order to produce a vector with to elements. More... | |
static Matrix | ComputeRandom (unsigned int from, unsigned int to) |
Compute a random projection matrix with from columns and to rows. A vector with from elements can be multiplied by this matrix in order to produce a vector with to elements. This uses the function above called with an empty scale vector. More... | |
Public Attributes | |
Matrix | mat |
Projection matrix. | |
Detailed Description
A projection matrix – it allows multiplication of real vectors by a specified matrix. The matrix can also be randomly generated.
Definition at line 122 of file ProjectionEvaluator.h.
Member Function Documentation
◆ ComputeRandom() [1/2]
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static |
Compute a random projection matrix with from columns and to rows. A vector with from elements can be multiplied by this matrix in order to produce a vector with to elements. This uses the function above called with an empty scale vector.
Each element is sampled with a Gaussian distribution with mean 0 and variance 1 and the matrix rows are made orthonormal.
Definition at line 83 of file ProjectionEvaluator.cpp.
◆ ComputeRandom() [2/2]
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static |
Compute a random projection matrix with from columns and to rows. A vector with from elements can be multiplied by this matrix in order to produce a vector with to elements.
If the scale argument is specified, the columns of the matrix are divided by the corresponding scaling argument: all elements (rows) in column[i] are divided by scale[i]. This is useful to specify if scaling of the elements of the state is to be applied before projection. If the scale for a column is 0, the column itself is set to 0.
Each element is sampled with a Gaussian distribution with mean 0 and variance 1 and the matrix rows are made orthonormal.
Definition at line 48 of file ProjectionEvaluator.cpp.
The documentation for this class was generated from the following files:
- ompl/base/ProjectionEvaluator.h
- ompl/base/src/ProjectionEvaluator.cpp