Figure 4

Refined step-size adaptation for events. For a certain time interval, the Rosenbrock solver (KiSAO term 33) always tries to increase time t by the current adaptive step size h and calculates a new vector of quantities${\overrightarrow{Q}}_{\text{next}}$. After a successful step, the events and rules of the model are processed. If this causes a change in$\overrightarrow{Q}$, h is first decreased and the Rosenbrock solver then calculates another vector${\overrightarrow{Q}}_{\text{next}}$ using this adapted step size. The precision of the event processing is therefore determined by the minimum step size h_min. The adapt function is defined by Rosenbrock’s method[30].