RKAdaptiveSolver< T, StepWithPrec, N > Class Template Reference

#include <RKAdaptiveSolver.h>

Inheritance diagram for RKAdaptiveSolver< T, StepWithPrec, N >:

List of all members.

Public Types
typedef RKSolver< T, N >	Base
typedef Base::Scalar	Scalar
typedef Base::Vector	Vector
Public Member Functions
virtual Vector	operator() (Scalar startPar, const Vector &startState, Scalar step, const RKDerivative< T, N > &deriv, const RKDistance< T, N > &dist, Scalar eps)
std::pair< Vector, T >	stepWithAccuracy (Scalar startPar, const Vector &startState, const RKDerivative< T, N > &deriv, const RKDistance< T, N > &dist, Scalar step)
Protected Member Functions
bool	verbose () const

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Detailed Description

template<typename T, template< typename, int > class StepWithPrec, int N>
class RKAdaptiveSolver< T, StepWithPrec, N >

Definition at line 11 of file RKAdaptiveSolver.h.

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Member Typedef Documentation

template<typename T , template< typename, int > class StepWithPrec, int N>

typedef RKSolver<T,N> RKAdaptiveSolver< T, StepWithPrec, N >::Base

Definition at line 14 of file RKAdaptiveSolver.h.

template<typename T , template< typename, int > class StepWithPrec, int N>

typedef Base::Scalar RKAdaptiveSolver< T, StepWithPrec, N >::Scalar

Reimplemented from RKSolver< T, N >.

Definition at line 15 of file RKAdaptiveSolver.h.

template<typename T , template< typename, int > class StepWithPrec, int N>

typedef Base::Vector RKAdaptiveSolver< T, StepWithPrec, N >::Vector

Reimplemented from RKSolver< T, N >.

Definition at line 16 of file RKAdaptiveSolver.h.

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Member Function Documentation

template<typename T , template< typename, int > class StepWithPrec, int N>

virtual Vector RKAdaptiveSolver< T, StepWithPrec, N >::operator()	(	Scalar	startPar,
		const Vector &	startState,
		Scalar	step,
		const RKDerivative< T, N > &	deriv,
		const RKDistance< T, N > &	dist,
		Scalar	eps
	)		[virtual]

Advance starting state (startPar,startState) by step. The accuracy of the result should be better than eps. The accuracy is computed as the distance (using the "dist" argument) between different internal estimates of the resulting state. The "deriv" argument computes the derivatives.

Implements RKSolver< T, N >.

template<typename T , template< typename, int > class StepWithPrec, int N>

std::pair< Vector, T> RKAdaptiveSolver< T, StepWithPrec, N >::stepWithAccuracy	(	Scalar	startPar,
		const Vector &	startState,
		const RKDerivative< T, N > &	deriv,
		const RKDistance< T, N > &	dist,
		Scalar	step
	)

template<typename T , template< typename, int > class StepWithPrec, int N>

bool RKAdaptiveSolver< T, StepWithPrec, N >::verbose

(

)

const [inline, protected]

Definition at line 30 of file RKAdaptiveSolver.h.

                         {
      static bool verb = false; //SimpleConfigurable<bool>(false,"RKAdaptiveSolver:verbose").value();
      return verb;
    }