Automatic Differentiation
 
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◆ operator()()

template<ARKODE_ERKTableID Table, bool DenseOutput, typename F , typename T_y0 , typename T_t0 , typename T_ts , typename... Args>
std::vector< Eigen::Matrix< T_Return, Eigen::Dynamic, 1 > > stan::math::arkode_integrator< Table, DenseOutput, F, T_y0, T_t0, T_ts, Args >::operator() ( )
inline

Solve the ODE initial value problem y' = f(t, y), y(t0) = y0 at a set of times, { t1, t2, t3, ... } using ARKODE's ERKStep embedded explicit Runge-Kutta solver with the Butcher table given by Table.

Returns
std::vector of Eigen::Matrix of the states of the ODE, one for each solution time (excluding the initial state)

Definition at line 158 of file arkode_integrator.hpp.