Sentence examples for simulation which may from inspiring English sources

These indices are usually computed by direct Monte Carlo or quasi-Monte Carlo simulation, which may reveal hardly applicable for computationally demanding industrial models.

Issues surface due to the high number of variables involved and the use of specialized software for simulation which may not include an optimization option.

Secondly, it is very challenging to collect communication pattern information in ChaNGa, even at small core count, due to a very large number of messages in the simulation, which may incur significant overhead on memory when performing load balancing.

In fact, since other protocols did not take traffic lights into account in their design, we have not compared STAR's performance with different configurations of the number and duration of traffic lights in this simulation, which may seem unfair in such cases.

As opposed to a full dynamic simulation, which may be time-consuming, the developed method resorts to modelling all power system components for the PFC time frame by using enhanced steady-state power-flow models which are solved for a power system operating point that agrees well with the operating conditions of the network after the action of the PFC.

Below, we shortly recapitulate the basics of power analysis, and then outline the procedure of exact simulation, which may be implemented readily (we use the freely available R program).

Moreover, the corresponding distribution regions with performance gain are also discussed by simulations, which may give some insights in the application of network coding in OFDM systems.

Besides, the distribution regions of the performance gain are also discussed by simulations, which may give some insights in the application of network coding in OFDM systems.

Besides, the distribution regions of the performance gain are also discussed by simulations, which may give some insights in the application of network coding in OFDM systems.  .

So far, workplace optimization is based on observational methods and software simulations which may not be insightful, while full size prototypes signify high costs and implementation time.

The genetic algorithm relies on a relatively large number of simulations, which may result in a considerable computational effort, depending on the configuration.