Subtract two RobOptim functions. More...
#include <roboptim/core/operator/minus.hh>
 
  
 | Public Types | |
| typedef detail::PromoteTrait < U, V >::T_promote | parentType_t | 
| typedef boost::shared_ptr< Minus > | MinusShPtr_t | 
| Public Member Functions | |
| ROBOPTIM_DIFFERENTIABLE_FUNCTION_FWD_TYPEDEFS_ (parentType_t) | |
| Minus (boost::shared_ptr< U > left, boost::shared_ptr< V > right) | |
| ~Minus () | |
| const boost::shared_ptr< U > & | left () const | 
| U & | left () | 
| const boost::shared_ptr< V > & | right () const | 
| V & | right () | 
| void | impl_compute (result_ref result, const_argument_ref x) const | 
| void | impl_gradient (gradient_ref gradient, const_argument_ref argument, size_type functionId=0) const | 
| void | impl_jacobian (jacobian_ref jacobian, const_argument_ref arg) const | 
Subtract two RobOptim functions.
| U | first input function type. | 
| V | second input function type. | 
| typedef boost::shared_ptr<Minus> roboptim::Minus< U, V >::MinusShPtr_t | 
| typedef detail::PromoteTrait<U, V>::T_promote roboptim::Minus< U, V >::parentType_t | 
| 
 | explicit | 
| roboptim::Minus< U, V >::~Minus | ( | ) | 
| void roboptim::Minus< U, V >::impl_compute | ( | result_ref | result, | 
| const_argument_ref | x | ||
| ) | const | 
References result_.
| void roboptim::Minus< U, V >::impl_gradient | ( | gradient_ref | gradient, | 
| const_argument_ref | argument, | ||
| size_type | functionId = 0 | ||
| ) | const | 
| void roboptim::Minus< U, V >::impl_jacobian | ( | jacobian_ref | jacobian, | 
| const_argument_ref | arg | ||
| ) | const | 
References jacobian_.
| 
 | inline | 
| 
 | inline | 
| 
 | inline | 
| 
 | inline | 
| roboptim::Minus< U, V >::ROBOPTIM_DIFFERENTIABLE_FUNCTION_FWD_TYPEDEFS_ | ( | parentType_t | ) |