| compute(const vnl_vector< double > &x, double *f, vnl_vector< double > *g) | vnl_cost_function | [virtual] |
| Copy() const | vnl_unary_function< double, vnl_vector< double > > | [inline, virtual] |
| dim | vnl_cost_function | |
| f(const vnl_vector< double > &x) | vnl_least_squares_cost_function | [virtual] |
| vnl_unary_function< double, vnl_vector< double > >::f(vnl_vector< double > const &i)=0 | vnl_unary_function< double, vnl_vector< double > > | [pure virtual] |
| f_ | vnl_least_squares_cost_function | [protected] |
| fdgradf(const vnl_vector< double > &x, vnl_vector< double > &gradient, double stepsize=1e-5) | vnl_cost_function | |
| fdgradf(const vnl_vector< double > &x) | vnl_cost_function | |
| get_number_of_unknowns() const | vnl_cost_function | [inline] |
| get_range_max() const | vnl_unary_function< double, vnl_vector< double > > | [inline, virtual] |
| get_range_min() const | vnl_unary_function< double, vnl_vector< double > > | [inline, virtual] |
| gradf(const vnl_vector< double > &x, vnl_vector< double > &gradient) | vnl_least_squares_cost_function | [virtual] |
| vnl_cost_function::gradf(const vnl_vector< double > &x) | vnl_cost_function | |
| jacobian_ | vnl_least_squares_cost_function | [protected] |
| limits typedef | vnl_unary_function< double, vnl_vector< double > > | |
| reported_error(double f_value) | vnl_cost_function | [inline, virtual] |
| storage_ | vnl_least_squares_cost_function | [protected] |
| vnl_cost_function(int number_of_unknowns) | vnl_cost_function | [inline] |
| vnl_least_squares_cost_function(vnl_least_squares_function *f) | vnl_least_squares_cost_function | |
| ~vnl_cost_function() | vnl_cost_function | [inline, virtual] |
| ~vnl_unary_function() | vnl_unary_function< double, vnl_vector< double > > | [inline, virtual] |
