vnl_least_squares_cost_function Class Reference

#include <vnl_least_squares_cost_function.h>

Inheritance diagram for vnl_least_squares_cost_function:

[legend]Collaboration diagram for vnl_least_squares_cost_function:

[legend]List of all members.

Public Methods
	vnl_least_squares_cost_function (vnl_least_squares_function *f)
double	f (const vnl_vector< double > &x)
virtual void	gradf (const vnl_vector< double > &x, vnl_vector< double > &gradient)
Protected Attributes
vnl_vector< double >	storage_
vnl_matrix< double >	jacobian_
vnl_least_squares_function *	f_

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Detailed Description

An adaptor that converts a vnl_least_squares_function to a vnl_cost_function.

Definition at line 21 of file vnl_least_squares_cost_function.h.

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Constructor & Destructor Documentation

vnl_least_squares_cost_function::vnl_least_squares_cost_function (  vnl_least_squares_function *    f )

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Member Function Documentation

double vnl_least_squares_cost_function::f (  const vnl_vector< double > &    x )  [virtual]

The main function.\ Given the parameter vector x, compute the. value of f(x). Reimplemented from vnl_cost_function.

virtual void vnl_least_squares_cost_function::gradf (  const vnl_vector< double > &    x, vnl_vector< double > &    gradient )  [virtual]

Calculate the Jacobian, given the parameter vector x. Reimplemented from vnl_cost_function.

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Member Data Documentation

vnl_least_squares_function* vnl_least_squares_cost_function::f_ [protected]

Definition at line 32 of file vnl_least_squares_cost_function.h.

vnl_matrix<double> vnl_least_squares_cost_function::jacobian_ [protected]

Definition at line 31 of file vnl_least_squares_cost_function.h.

vnl_vector<double> vnl_least_squares_cost_function::storage_ [protected]

Definition at line 30 of file vnl_least_squares_cost_function.h.

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The documentation for this class was generated from the following file:

• vnl_least_squares_cost_function.h

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