Class for linear function approximation with the univariate Fourier basis. More...
#include <fourier_approx.h>
Public Member Functions | |
| virtual double | evalAt (double x) |
| Evaluate the function approximator at point x. | |
| FourierApprox (int order) | |
| FourierApprox (const std::vector< double > &w) | |
| virtual void | leastSquaresWeights (double *X, double *Y, int n_pts) |
| Computes the least squares weights given a set of data points. | |
| virtual | ~FourierApprox () |
Private Member Functions | |
| void | calcFeatures (double x) |
| Calculate the Fourier basis features at point x. | |
| Eigen::MatrixXd | pseudoinverse (Eigen::MatrixXd mat) |
| Calculate the Moore-Penrose pseudoinverse of a matrix using SVD. | |
Private Attributes | |
| double * | features |
Detailed Description
Class for linear function approximation with the univariate Fourier basis.
Definition at line 55 of file fourier_approx.h.
Constructor & Destructor Documentation
| dmp::FourierApprox::FourierApprox | ( | int | order | ) |
Definition at line 49 of file fourier_approx.cpp.
| dmp::FourierApprox::FourierApprox | ( | const std::vector< double > & | w | ) |
| dmp::FourierApprox::~FourierApprox | ( | ) | [virtual] |
Definition at line 71 of file fourier_approx.cpp.
Member Function Documentation
| void dmp::FourierApprox::calcFeatures | ( | double | x | ) | [private] |
Calculate the Fourier basis features at point x.
- Parameters:
-
x The point at which to get features
Definition at line 111 of file fourier_approx.cpp.
| double dmp::FourierApprox::evalAt | ( | double | x | ) | [virtual] |
Evaluate the function approximator at point x.
- Parameters:
-
x The point at which to evaluate
- Returns:
- The scalar value of the function at x
Implements dmp::FunctionApprox.
Definition at line 77 of file fourier_approx.cpp.
| void dmp::FourierApprox::leastSquaresWeights | ( | double * | X, |
| double * | Y, | ||
| int | n_pts | ||
| ) | [virtual] |
Computes the least squares weights given a set of data points.
- Parameters:
-
X A vector of the domain values of the points Y A vector of the target values of the points
Implements dmp::FunctionApprox.
Definition at line 89 of file fourier_approx.cpp.
| MatrixXd dmp::FourierApprox::pseudoinverse | ( | Eigen::MatrixXd | mat | ) | [private] |
Calculate the Moore-Penrose pseudoinverse of a matrix using SVD.
- Parameters:
-
mat The matrix to pseudoinvert
- Returns:
- The pseudoinverted matrix
Definition at line 119 of file fourier_approx.cpp.
Member Data Documentation
double* dmp::FourierApprox::features [private] |
Definition at line 85 of file fourier_approx.h.
The documentation for this class was generated from the following files: