cgv::math::mfunc< X, T > Class Template Referenceabstract
#include <mfunc.h>
Inheritance diagram for cgv::math::mfunc< X, T >:
Public Types | |
| typedef cgv::math::vec< X > | pnt_type |
| points must have get_nr_independent_variables() components | |
| typedef cgv::math::vec< X > | vec_type |
| vectors must have get_nr_independent_variables() components | |
Public Member Functions | |
| virtual | ~mfunc () |
| virtual destructor | |
| virtual unsigned | get_nr_independent_variables () const =0 |
| return the number of independent variables that are mapped by the function | |
| virtual T | evaluate (const pnt_type &p) const =0 |
| interface for evaluation of the multivariate function | |
| virtual vec_type | evaluate_gradient (const pnt_type &p) const |
Detailed Description
template<typename X, typename T>
class cgv::math::mfunc< X, T >
interface class for multivariate function with two template arguments:
- X defines the type of the independent variables and
- T the type of range to which the function maps For example a function that maps from n double variables to an int would be declared as mfunc<double,int>
Member Function Documentation
◆ evaluate_gradient()
template<typename X , typename T >
|
inlinevirtual |
interface for evaluation of the gradient of the multivariate function. default implementation uses central differences to approximate the gradient, with an epsilon of 1e-5.
The documentation for this class was generated from the following file:
- D:/develop/projects/git/cgv/cgv/math/mfunc.h
