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The major queueing delays can be roughly estimated using the classical queueing theory based on waiting time formulas.
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In the final P ushing-B ack phase, GA* pushes all the expanded nodes with their heuristic function values back into the priority queues, using the classical insert procedure of a binary heap.
and by using the classical inequality (7.23).
Different applications have different flow characteristics and behavioral characteristics, so it is not enough to analyze only using mathematical simulation and the classical queuing theory mode.
The main difficulty in obtaining analytical results comes from the fact that the classical queueing theory is no longer suitable.
These values have been obtained by using the queue simulator server Queue 2.0 [ 31].
Subsequently, a queue length estimator is designed to provide feedback to the queue length regulator, using the queue-detector speed data that are available in the field.
This can be formulated precisely, by using the mathematics of queuing theory.
We use the M[G]/M/s/s queueing model to derive approximate formulas for the hypercube spatial queueing outputs.
The comparison group completed a questionnaire and comprised 500 randomly selected patients who used the usual queuing method for registration.
Let each AP use the per-station queue.
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