src/qvmath/qvnumericalanalysis.cpp File Reference

File from the QVision library. More...

#include <qvmath/qvnumericalanalysis.h>

Go to the source code of this file.

Functions
const QVVector	qvEstimateGradient (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	qvEstimateJacobian (QVFunction< QVVector, QVVector > &multivariateFunction, const QVVector &location, const double h)
	Estimates the Jacobian matrix for the function using the forward two-points rule for the derivative approximation.
const QVMatrix	qvEstimateHessian (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.
bool	qvGSLMinimizeFDF (const QVFunction< QVVector, double > &function, QVVector &point, const GSLMultiminFDFMinimizerType gslMinimizerAlgorithm, const int maxIterations, const double maxGradientNorm, const double step, const double tol)
	Wrapper to GSL multivariate function minimization using gradient information.
bool	qvGSLMinimizeFDF (const QVFunction< QVVector, double > &function, const QVFunction< QVVector, QVVector > &gradientFunction, QVVector &point, const GSLMultiminFDFMinimizerType gslMinimizerAlgorithm, const int maxIterations, const double maxGradientNorm, const double step, const double tol)
	Wrapper to GSL multivariate function minimization using gradient information.
bool	qvGSLMinimize (const QVFunction< double, double > &function, double &x, double &lower, double &upper, const GSLMinFMinimizer gslMinimizerAlgorithm, const int maxIterations, const double absoluteError, const double relativeError)
	Wrapper to GSL function minimization.

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Detailed Description

File from the QVision library.

Author:

PARP Research Group. University of Murcia, Spain.

Definition in file qvnumericalanalysis.cpp.