Note that we cannot derive the actual delivery routes nor the specific durations of tours from the data, and we will derive those values by simulating the distribution process on the basis of the above observations.
We present in this paper our efforts in this direction by simulating the distribution of fluids by analytical approach utilizing flow channeling model of a manifold to increase the power output of the fuel cell stack.
We argue that iterative cycles of (dry) mathematical modeling and (wet) laboratory testing will become increasingly important for simulating the distribution of flux in plant metabolic networks and deriving rational experimental designs for metabolic engineering efforts.
The suitability of two different random fields of porosity, based on the probability density function (PDF) and the ellipsoidal autocorrelation function (EAF) methods, are investigated, respectively, in simulating the distribution of porosity in cement mortar.
This question is answered by simulating the distribution of the predicted true worst number of deaths and comparing it to the observed worst number of deaths.
Second, both the biaxial tensile test by Bargel et al. (2004) and our elastometer subject skin samples to biaxial tangential strains, thereby simulating the distribution of growth strains in spherical fruit in vivo.
