To implement the model in an electrical simulator, discrete solutions are required which are well provided in this model.
To obtain the correct well model (well index) for the finite difference simulator, a reference solution (analytical or numerical) is needed.
In a typical textbook problem, there is no predefined structure in the input data (as it exists, for example, in a process simulator) and the solution process is completely data-driven.
This simulator enables each solution to be assigned a value of the performance indicator whose ranking closely approximates the ranking that would be obtained if the correct hydraulic simulator were used, while at the same time ensuring significant reductions in computational times.
We adopt the WiMAX module for NS-2 simulator to simulate the proposed solution [12].
Simulation results obtained by the Vienna LTE simulator confirm our analytical solution.
As cleared from Fig. 2, the results obtained by numerical and analytical solutions are in great agreement with those of reservoir simulator which justify the solution approach.
The molecular/topological results obtained from the MC algorithm are then introduced into a random-walk molecular simulator to calculate the solution properties of LDPE (i.e., the mean radius of gyration, Rg, and the branching factor, g) in terms of the chain length of the branched polyethylene.
Produce simulators are a potential solution for overcoming some of these difficulties.
Non-real numbers are not valid arguments for models and can cause non-convergence to a valid solution in simulators.
