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We show how the validity of some simplifying hypotheses can be analysed in this paper by simulation with existing literature data of α-methylstyrene hydrogenation.
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The results are discussed in comparison to simulations with existing models in literature.
This approach is validated by simulation with a finite element model of an existing overhead transmission line, calibrated with full scale measurements.
The numerical simulation results were validated by comparison with existing results derived from laboratory experiments.
Clusters can be studied by experiment, by theoretical analysis, and by simulation with computer-generated models.
Through a comprehensive simulation study we assess the performance of the new test by comparing it with existing methods.
In this section, we will assess the performance of the proposed test by comparing it with existing methods in terms of controlling type I error rate and detecting power through a comprehensive simulation study.
The performance superiority of the proposed solution in terms of dynamic energy saving and deadline missing rate is illustrated by extensive simulation results in comparison with existing algorithms, and further validated by real-life workflow implementation and experimental results in Hadoop/YARN systems.
These heuristics are implemented and tested on a large set of simulated pipelines and networks of various scales and their performance superiority is illustrated by extensive simulation results in comparison with existing methods.
The age distribution among the carriers resulting from the reference simulations was compared with existing data [ 12].
The results can also be used to calibrate the simulation data for use with existing sales-forecasting models.
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