The results of new imaging measurements (Pragati et al., 2010) have been compared with the model computation to study the wind filtering effect on the propagation characteristics of gravity waves.
As a consequence, performing a large number of model computations cannot be considered in order to assess the failure probability.
We use this model of computation to jointly analyze the non-functional real-time and logical-time properties of the system (by means of logical and affine clock relations).
In this investigation, many experimental tests and finite element model computation are performed to predict the damage evolution in notched tensile specimen of sheet metal using the GTN model.
Results of extensive model computations are presented and discussed.
It uses the MaaS approach, thus illustrating the integration of time-step based model computations.
Model computations produced simulated time series that closely resembled those described for rats in LL.
The measured expression ratio distribution for technical noise (SD = 0.11) was used in subsequent model computations.
An Inverse Gamma prior distribution is the conjugate of a normal distribution [ 46], which simplifies the model computations.
For the sparse linear model, computations based on the posterior factor P(A i, T. | D) cannot be done analytically.
