We considered the same set of input data as in Example 1.
In all the proposed models the same set of input and output data is used.
For the same set of input parameters, different models provide different factors of safety and/or probabilities of liquefaction.
As a consequence, the simulation results are normally not immediately comprehensible, and different software systems produce strongly differing results for the same set of input parameters.
As a comparison against binary interference, we use the same set of input traffic parameters to obtain the stability region of slotted ALOHA under collision channel (i.e., binary interference model) via simulations.
This increases the array gain, but results in the signals presented to the ears being generated from the same set of input signals making it necessary to take measures to control the interaural cues.
Unlike the previous two, this model (named model 2-1) was developed to directly predict the residual flexural strength (M res ) without using C f but with the same set of input variables.
With the same set of input and tested driving factors, all three models were simulated for the period 1989 2001 to produce the transition potential maps for 2011 and same amount of land demands, as in 2011 were allocated on the potential maps.
The same set of input data are considered as in Example 1. Computational results are summarized in Table 4 for various set of values of parameters (alpha_{1} in) {180, 240, 300, 360, 420} and (beta_{1}) ∈ {1.62, 2.16, 2.7, 3.24, 3.78}.
The MAKER2 and GLEAN analyses used the same set of input data.
The two designs are compared in Table 4 on the basis of the same set of input gene trees.
