An adaptor that converts a vnl_least_squares_function to a vnl_cost_function. More...
#include <vnl_least_squares_cost_function.h>
Public Member Functions | |
| vnl_least_squares_cost_function (vnl_least_squares_function *f) | |
| double | f (const vnl_vector< double > &x) |
| The main function. Given the parameter vector x, compute the value of f(x). | |
| virtual void | gradf (const vnl_vector< double > &x, vnl_vector< double > &gradient) |
| Calculate the gradient of f at parameter vector x. | |
| vnl_vector< double > | gradf (vnl_vector< double > const &x) |
| Conveniences for printing grad, fdgrad. | |
| virtual void | compute (vnl_vector< double > const &x, double *f, vnl_vector< double > *g) |
| Compute one or both of f and g. | |
| int | get_number_of_unknowns () const |
| Return the number of unknowns. | |
| void | fdgradf (vnl_vector< double > const &x, vnl_vector< double > &gradient, double stepsize=1e-5) |
| Compute finite-difference gradient. | |
| vnl_vector< double > | fdgradf (vnl_vector< double > const &x) |
| virtual double | reported_error (double f_value) |
| Called when error is printed for user. | |
| virtual double | get_range_min () const |
| Return bounding cube of range (outputs). | |
| virtual double | get_range_max () const |
| virtual vnl_unary_function < double, vnl_vector< double > > * | Copy () const |
| Copy should allocate a copy of this on the heap and return it. | |
Public Attributes | |
| int | dim |
Protected Member Functions | |
| void | set_number_of_unknowns (int number_of_unknowns) |
| Set number of unknowns. | |
Protected Attributes | |
| vnl_vector< double > | storage_ |
| vnl_matrix< double > | jacobian_ |
| vnl_least_squares_function * | f_ |
Detailed Description
An adaptor that converts a vnl_least_squares_function to a vnl_cost_function.
Definition at line 24 of file vnl_least_squares_cost_function.h.
Constructor & Destructor Documentation
| vnl_least_squares_cost_function::vnl_least_squares_cost_function | ( | vnl_least_squares_function * | f | ) |
Definition at line 14 of file vnl_least_squares_cost_function.cxx.
Member Function Documentation
| void vnl_cost_function::compute | ( | vnl_vector< double > const & | x, |
| double * | f, | ||
| vnl_vector< double > * | g | ||
| ) | [virtual, inherited] |
Compute one or both of f and g.
Normally implemented in terms of the above two, but may be faster if specialized. f != 0 => compute f
Definition at line 16 of file vnl_cost_function.cxx.
| virtual vnl_unary_function<double , vnl_vector< double > >* vnl_unary_function< double , vnl_vector< double > >::Copy | ( | ) | const [inline, virtual, inherited] |
Copy should allocate a copy of this on the heap and return it.
If Subclasses do not implement this function, it will return null, but many applications will never call it, so this may not be a problem for you.
Definition at line 46 of file vnl_unary_function.h.
| 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).
Default implementation of f is compute...
Reimplemented from vnl_cost_function.
Definition at line 22 of file vnl_least_squares_cost_function.cxx.
| void vnl_cost_function::fdgradf | ( | vnl_vector< double > const & | x, |
| vnl_vector< double > & | gradient, | ||
| double | stepsize = 1e-5 |
||
| ) | [inherited] |
Compute finite-difference gradient.
Compute fd gradient.
Definition at line 46 of file vnl_cost_function.cxx.
| vnl_vector< double > vnl_cost_function::fdgradf | ( | vnl_vector< double > const & | x | ) | [inherited] |
Definition at line 73 of file vnl_cost_function.cxx.
| int vnl_cost_function::get_number_of_unknowns | ( | ) | const [inline, inherited] |
Return the number of unknowns.
Definition at line 50 of file vnl_cost_function.h.
| virtual double vnl_unary_function< double , vnl_vector< double > >::get_range_max | ( | ) | const [virtual, inherited] |
Return bounding cube of range (outputs).
| virtual double vnl_unary_function< double , vnl_vector< double > >::get_range_min | ( | ) | const [virtual, inherited] |
Return bounding cube of range (outputs).
| void vnl_least_squares_cost_function::gradf | ( | const vnl_vector< double > & | x, |
| vnl_vector< double > & | gradient | ||
| ) | [virtual] |
Calculate the gradient of f at parameter vector x.
Default implementation of gradf is to call compute.
Reimplemented from vnl_cost_function.
Definition at line 28 of file vnl_least_squares_cost_function.cxx.
| vnl_vector< double > vnl_cost_function::gradf | ( | vnl_vector< double > const & | x | ) | [inherited] |
Conveniences for printing grad, fdgrad.
Definition at line 66 of file vnl_cost_function.cxx.
| virtual double vnl_cost_function::reported_error | ( | double | f_value | ) | [inline, virtual, inherited] |
Called when error is printed for user.
Definition at line 56 of file vnl_cost_function.h.
| void vnl_cost_function::set_number_of_unknowns | ( | int | number_of_unknowns | ) | [inline, protected, inherited] |
Set number of unknowns.
Definition at line 65 of file vnl_cost_function.h.
Member Data Documentation
int vnl_cost_function::dim [inherited] |
Definition at line 68 of file vnl_cost_function.h.
Definition at line 36 of file vnl_least_squares_cost_function.h.
vnl_matrix<double> vnl_least_squares_cost_function::jacobian_ [protected] |
Definition at line 35 of file vnl_least_squares_cost_function.h.
vnl_vector<double> vnl_least_squares_cost_function::storage_ [protected] |
Definition at line 34 of file vnl_least_squares_cost_function.h.
The documentation for this class was generated from the following files:
- core/vnl/vnl_least_squares_cost_function.h
- core/vnl/vnl_least_squares_cost_function.cxx
