Английская Википедия:Concurrent estimation
In discrete event simulation concurrent estimation is a technique used to estimate the effect of alternate parameter settings on a discrete event system. For example from observation of a (computer simulated) telecommunications system with a specified buffer size <math>B_0</math>, one estimates what the performance would be if the buffer size had been set to the alternate values <math>B_1,\ldots,B_n</math>. Effectively the technique generates (during a single simulation run) <math>n</math> alternative histories for the system state variables, which have the same probability of occurring as the main simulated state path; this results in a computational saving as compared to running <math>n</math> additional simulations, one for each alternative parameter value.
The technique was developed by Cassandras,[1] Strickland and Panayiotou.[2]
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