GPUFLIC: Interactive and Accurate Dense Visualization of Unsteady Flows

We introduce an ‘instantaneous’ fidelity function F D (T,T þ t) where t A [0,T], which is defined as the fraction of droplets that occupy the same Voronoı¨ cell at time t as at

Find discrete time transfer function H(z) and again calculate output if a discrete time unit step function u[n] is given as an input. If necessary use t s = 1 s and calculate only

As part of enhancing the EU’s role in both civilian and military crisis management operations, the EU therefore elaborated on the CMCO concept as an internal measure for

‘‘k”, T start ðkÞ, is set to the first space-based AIS system access time to the grid cell ‘‘k” after the end time used for the previous grid cell ‘‘n”, T end ðnÞ,

(Visual observations during experiments have confirmed that these particles return to the first compartment and are mixed into the dense particle bed.) The lighter particles

Diurnal cycles of median, 25 t h and 75 t h percentiles of: (A) the BC mass concentration (SP2); (B) the relative number fraction of BC-containing particles (SP2) to the total number

In our application framework ViSTA FlowLib for the interactive visualization and explo- ration of unsteady flows in virtual environments we implemented haptic rendering techniques as

Compared to particle tracing in steady flows, the tracing of particles in unsteady flows is more time-consuming due to the following reasons: Firstly, the velocity fields have to