Trajectory cost function defined by sum of state evaluations at parameters. More...
#include <roboptim/trajectory/trajectory-sum-cost.hh>
 
  
 | Public Types | |
| typedef DerivableFunction | parent_t | 
| Parent type. | |
| typedef T | trajectory_t | 
| Trajectory type. | |
| typedef parent_t::vector_t | vector_t | 
| Import vector type. | |
| typedef parent_t::gradient_t | gradient_t | 
| Import gradient type. | |
| typedef parent_t::discreteInterval_t | discreteInterval_t | 
| Import discrete interval type. | |
| Public Member Functions | |
| TrajectorySumCost (const trajectory_t &gamma, boost::shared_ptr< DerivableFunction > cost, const discreteStableTimePointInterval_t &interval, size_type order=1) | |
| Constructor. | |
| virtual | ~TrajectorySumCost () | 
| size_type | order () const | 
| Protected Member Functions | |
| void | impl_compute (result_ref, const_argument_ref) const | 
| void | impl_gradient (gradient_ref, const_argument_ref, size_type) const | 
| Discrete interval of stable time points. | |
| typedef boost::tuple < StableTimePoint, StableTimePoint, StableTimePoint > | discreteStableTimePointInterval_t | 
| Types representing a discrete interval of stable time points. | |
| static discreteStableTimePointInterval_t | makeDiscreteInterval (StableTimePoint min, StableTimePoint max, StableTimePoint step) | 
| Construct a discrete interval. | |
| static discreteStableTimePointInterval_t | makeDiscreteInterval (interval_t interval, StableTimePoint step) | 
| Construct a discrete interval. | |
| static StableTimePoint | getLowerBound (const discreteStableTimePointInterval_t &interval) | 
| Get the lower bound of a discrete interval. | |
| static StableTimePoint | getUpperBound (const discreteStableTimePointInterval_t &interval) | 
| Get the upper bound of a discrete interval. | |
| static StableTimePoint | getStep (const discreteStableTimePointInterval_t &interval) | 
| Get the upper step of a discrete interval. | |
Trajectory cost function defined by sum of state evaluations at parameters.
The state along a trajectory is defined as the vector containing the configuration and derivatives up to order  of the configuration.
 of the configuration. 
![\[ \textbf{Cost}(\Gamma) = \sum_{i=1}{n} cost \left({\Gamma(t_i)}, {\dot{\Gamma}(t_i)},\cdots,\frac{d^{r}\Gamma}{dt^{r}}(t_i) \right) \]](form_21.png) 
where
 is the trajectory cost,
 is the trajectory cost, is the state cost,
 is the state cost, are the parameters along the trajectory where the cost is evaluated,
 are the parameters along the trajectory where the cost is evaluated, is called the order of the state.
 is called the order of the state.| T | trajectory type | 
| typedef parent_t::discreteInterval_t roboptim::trajectory::TrajectorySumCost< T >::discreteInterval_t | 
Import discrete interval type.
| typedef boost::tuple<StableTimePoint, StableTimePoint, StableTimePoint> roboptim::trajectory::TrajectorySumCost< T >::discreteStableTimePointInterval_t | 
Types representing a discrete interval of stable time points.
A discrete interval is a triplet of values:
| typedef parent_t::gradient_t roboptim::trajectory::TrajectorySumCost< T >::gradient_t | 
Import gradient type.
| typedef DerivableFunction roboptim::trajectory::TrajectorySumCost< T >::parent_t | 
Parent type.
| typedef T roboptim::trajectory::TrajectorySumCost< T >::trajectory_t | 
Trajectory type.
| typedef parent_t::vector_t roboptim::trajectory::TrajectorySumCost< T >::vector_t | 
Import vector type.
| roboptim::trajectory::TrajectorySumCost< T >::TrajectorySumCost | ( | const trajectory_t & | gamma, | 
| boost::shared_ptr< DerivableFunction > | cost, | ||
| const discreteStableTimePointInterval_t & | interval, | ||
| size_type | order = 1 | ||
| ) | 
Constructor.
| gamma | Trajectory  along which the state is evaluated. | 
| cost | state cost:  . | 
| interval | Stable time points list where cost will be evaluated. | 
| order | order  of derivation. | 
| roboptim::trajectory::TrajectorySumCost< T >::~TrajectorySumCost | ( | ) |  [virtual] | 
| static StableTimePoint roboptim::trajectory::TrajectorySumCost< T >::getLowerBound | ( | const discreteStableTimePointInterval_t & | interval | ) |  [inline, static] | 
Get the lower bound of a discrete interval.
| interval | accessed discrete interval | 
| static StableTimePoint roboptim::trajectory::TrajectorySumCost< T >::getStep | ( | const discreteStableTimePointInterval_t & | interval | ) |  [inline, static] | 
Get the upper step of a discrete interval.
| interval | accessed discrete interval | 
| static StableTimePoint roboptim::trajectory::TrajectorySumCost< T >::getUpperBound | ( | const discreteStableTimePointInterval_t & | interval | ) |  [inline, static] | 
Get the upper bound of a discrete interval.
| interval | accessed discrete interval | 
| void roboptim::trajectory::TrajectorySumCost< T >::impl_compute | ( | result_ref | res, | 
| const_argument_ref | p | ||
| ) | const  [protected] | 
ROBOPTIM_DO_NOT_CHECK_ALLOCATION
| void roboptim::trajectory::TrajectorySumCost< T >::impl_gradient | ( | gradient_ref | grad, | 
| const_argument_ref | p, | ||
| size_type | i | ||
| ) | const  [protected] | 
ROBOPTIM_DO_NOT_CHECK_ALLOCATION
| static discreteStableTimePointInterval_t roboptim::trajectory::TrajectorySumCost< T >::makeDiscreteInterval | ( | StableTimePoint | min, | 
| StableTimePoint | max, | ||
| StableTimePoint | step | ||
| ) |  [inline, static] | 
Construct a discrete interval.
| min | miminum value of the interval | 
| max | maxinum value of the interval | 
| step | discretization step | 
| static discreteStableTimePointInterval_t roboptim::trajectory::TrajectorySumCost< T >::makeDiscreteInterval | ( | interval_t | interval, | 
| StableTimePoint | step | ||
| ) |  [inline, static] | 
Construct a discrete interval.
| interval | continuous interval | 
| step | discretization step | 
| TrajectorySumCost< T >::size_type roboptim::trajectory::TrajectorySumCost< T >::order | ( | ) | const |