Class template explicit_error_generic

Class template explicit_error_generic_rk

boost::numeric::odeint::explicit_error_generic_rk — A generic implementation of explicit Runge-Kutta algorithms with error estimation. This class is as a base class for all explicit Runge-Kutta steppers with error estimation.

Synopsis

// In header: <boost/numeric/odeint/stepper/explicit_error_generic_rk.hpp>

template<size_t StageCount, size_t Order, size_t StepperOrder, 
         size_t ErrorOrder, typename State, typename Value = double, 
         typename Deriv = State, typename Time = Value, 
         typename Algebra = typename algebra_dispatcher< State >::algebra_type, 
         typename Operations = typename operations_dispatcher< State >::operations_type, 
         typename Resizer = initially_resizer> 
class explicit_error_generic_rk : public explicit_error_stepper_base {
public:
  // types
  typedef explicit_stepper_base< ... >          stepper_base_type; 
  typedef stepper_base_type::state_type         state_type;        
  typedef stepper_base_type::wrapped_state_type wrapped_state_type;
  typedef stepper_base_type::value_type         value_type;        
  typedef stepper_base_type::deriv_type         deriv_type;        
  typedef stepper_base_type::wrapped_deriv_type wrapped_deriv_type;
  typedef stepper_base_type::time_type          time_type;         
  typedef stepper_base_type::algebra_type       algebra_type;      
  typedef stepper_base_type::operations_type    operations_type;   
  typedef stepper_base_type::resizer_type       resizer_type;      
  typedef unspecified                           rk_algorithm_type; 
  typedef rk_algorithm_type::coef_a_type        coef_a_type;       
  typedef rk_algorithm_type::coef_b_type        coef_b_type;       
  typedef rk_algorithm_type::coef_c_type        coef_c_type;       

  // construct/copy/destruct
  explicit_error_generic_rk(const coef_a_type &, const coef_b_type &, 
                            const coef_b_type &, const coef_c_type &, 
                            const algebra_type & = algebra_type());

  // public member functions
  template<typename System, typename StateIn, typename DerivIn, 
           typename StateOut, typename Err> 
    void do_step_impl(System, const StateIn &, const DerivIn &, time_type, 
                      StateOut &, time_type, Err &);
  template<typename System, typename StateIn, typename DerivIn, 
           typename StateOut> 
    void do_step_impl(System, const StateIn &, const DerivIn &, time_type, 
                      StateOut &, time_type);
  template<typename StateIn> void adjust_size(const StateIn &);

  // private member functions
  template<typename StateIn> bool resize_impl(const StateIn &);

  // public data members
  static const size_t stage_count;
};

Description

This class implements the explicit Runge-Kutta algorithms with error estimation in a generic way. The Butcher tableau is passed to the stepper which constructs the stepper scheme with the help of a template-metaprogramming algorithm. ToDo : Add example!

This class derives explicit_error_stepper_base which provides the stepper interface.

Template Parameters

```
size_t StageCount
```
The number of stages of the Runge-Kutta algorithm.
```
size_t Order
```
The order of a stepper if the stepper is used without error estimation.
```
size_t StepperOrder
```
The order of a step if the stepper is used with error estimation. Usually Order and StepperOrder have the same value.
```
size_t ErrorOrder
```
The order of the error step if the stepper is used with error estimation.
```
typename State
```
The type representing the state of the ODE.
```
typename Value = double
```
The floating point type which is used in the computations.
```
typename Deriv = State
```
```
typename Time = Value
```
The type representing the independent variable - the time - of the ODE.

typename Algebra = typename algebra_dispatcher< State >::algebra_type

The algebra type.

typename Operations = typename operations_dispatcher< State >::operations_type

The operations type.

```
typename Resizer = initially_resizer
```
The resizer policy type.

`explicit_error_generic_rk` public construct/copy/destruct

explicit_error_generic_rk(const coef_a_type & a, const coef_b_type & b, 
                          const coef_b_type & b2, const coef_c_type & c, 
                          const algebra_type & algebra = algebra_type());

Constructs the explicit_error_generik_rk class with the given parameters a, b, b2 and c. See examples section for details on the coefficients.

Parameters:

`a`	Triangular matrix of parameters b in the Butcher tableau.
`algebra`	A copy of algebra is made and stored inside explicit_stepper_base.
`b`	Last row of the butcher tableau.
`b2`	Parameters for lower-order evaluation to estimate the error.
`c`	Parameters to calculate the time points in the Butcher tableau.

`explicit_error_generic_rk` public member functions

template<typename System, typename StateIn, typename DerivIn, 
         typename StateOut, typename Err> 
  void do_step_impl(System system, const StateIn & in, const DerivIn & dxdt, 
                    time_type t, StateOut & out, time_type dt, Err & xerr);

template<typename System, typename StateIn, typename DerivIn, 
         typename StateOut> 
  void do_step_impl(System system, const StateIn & in, const DerivIn & dxdt, 
                    time_type t, StateOut & out, time_type dt);

```
template<typename StateIn> void adjust_size(const StateIn & x);
```
Adjust the size of all temporaries in the stepper manually.

Parameters:

x

A state from which the size of the temporaries to be resized is deduced.

`explicit_error_generic_rk` private member functions

template<typename StateIn> bool resize_impl(const StateIn & x);