PARP Research Group University of Murcia, Spain


src/qvmath/qvnumericalanalysis.cpp File Reference

File from the QVision library. More...

#include <qvmath/qvnumericalanalysis.h>
#include <gsl/gsl_multimin.h>
#include <QPair>

Go to the source code of this file.

Functions

const QVVector qvEstimateGradient (const QVFunction< QVVector, double > &multivariateFunction, const QVVector &location, const double h)
 Estimates the gradient vector for the function using the forward two-points rule for the derivative approximation.
const QVMatrix qvEstimateHessian (const QVFunction< QVVector, double > &multivariateFunction, const QVVector &location, const double h)
 Estimates the hessian matrix for the function using the forward two-point rule for the derivative approximation.
double my_f (const gsl_vector *v, void *params)
void my_df (const gsl_vector *v, void *params, gsl_vector *df)
void my_fdf (const gsl_vector *x, void *params, double *f, gsl_vector *df)
const bool qvGSLMinimizeFDF (QVFunction< QVVector, double > &function, QVVector &point, const GSLMultiminFDFMinimizerType gslMinimizerAlgorithm, const int maxIterations, const double maxGradientNorm, const double step, const double tol)
 Wrapper to GSL function minimization using gradient information.
double my_f_gradient (const gsl_vector *v, void *params)
void my_df_gradient (const gsl_vector *v, void *params, gsl_vector *df)
void my_fdf_gradient (const gsl_vector *x, void *params, double *f, gsl_vector *df)
const bool qvGSLMinimizeFDF (QVFunction< QVVector, double > &function, QVFunction< QVVector, QVVector > &gradientFunction, QVVector &point, const GSLMultiminFDFMinimizerType gslMinimizerAlgorithm, const int maxIterations, const double maxGradientNorm, const double step, const double tol)
 Wrapper to GSL function minimization using gradient information.


Detailed Description

File from the QVision library.

Author:
PARP Research Group. University of Murcia, Spain.

Definition in file qvnumericalanalysis.cpp.




QVision framework. PARP research group, copyright 2007, 2008.