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The simulation itself is flawed in a number of ways, most notably the traffic.
This operation is computationally quite time consuming, so to optimize efficiency, it is performed before the simulation itself.
Simulation initiation The LiVi Simulation node has a menu operator to specify the accuracy of the simulation and initiates the simulation itself.
Another reason for detecting structures while the simulation is advancing, is the possibility to couple the results of the halo decomposition to the simulation itself.
The simulation itself was performed with the program Ganz Rasch (Alexandrowicz 2012), which supports all three simulation techniques introduced in Section 3.2.
Although the simulation itself is not accurate due to software simplification, the neural network mimics the brain of the given worm without the need for learning or programming.
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Besides introducing the simulation tool itself, the paper explores the realism of the data generated by the tool.
As far as the validation of the simulation results itself is concerned, it remains as our future work due to its complexity and practical limitations of the scenario.
Note that all examples presented in this study were obtained by setting necessary parameters and velocity model files without modifying the simulation code itself.
Lastly, the numerical examples show that these various types of sensitivity analysis are only moderately expensive to perform relative to solving the simulation by itself.
In such a simulation system the key tasks of autonomous route-finding and collision-avoidance are performed by the simulation program itself with no or minimum intervention of a human navigator.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com