RKSolver< T, N > Class Template Reference

ABC for Runge-Kutta solvers. More...

#include <RKSolver.h>

Inheritance diagram for RKSolver< T, N >:

Public Types
typedef T	Scalar
typedef RKSmallVector< T, N >	Vector

Public Member Functions
virtual Vector	operator() (Scalar startPar, const Vector &startState, Scalar step, const RKDerivative< T, N > &deriv, const RKDistance< T, N > &dist, float eps)=0
virtual	~RKSolver ()

Detailed Description

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

ABC for Runge-Kutta solvers.

Definition at line 13 of file RKSolver.h.

Member Typedef Documentation

template<typename T , int N>

typedef T RKSolver< T, N >::Scalar

Definition at line 15 of file RKSolver.h.

template<typename T , int N>

typedef RKSmallVector<T, N> RKSolver< T, N >::Vector

Definition at line 16 of file RKSolver.h.

Constructor & Destructor Documentation

template<typename T , int N>

virtual RKSolver< T, N >::~RKSolver ( )

inlinevirtual

Definition at line 18 of file RKSolver.h.

{}

Member Function Documentation

template<typename T , int N>

virtual Vector RKSolver< T, N >::operator() ( Scalar  startPar, const Vector &  startState, Scalar  step, const RKDerivative< T, N > &  deriv, const RKDistance< T, N > &  dist, float  eps  )

pure 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.

Implemented in RKAdaptiveSolver< T, StepWithPrec, N >, and RK4PreciseSolver< T, N >.