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Over the past three decades, these methods have undergone a rapid revolutionary progress, supported by sophisticated visualisation tools, analytical and simulation methodologies and techniques.
In the past decade, progress in hardware development, improvement in simulation methodologies and refinement of interaction potentials have rendered the possibility to model increasingly complex processes that were intractable previously (Karplus and Kuriyan, 2005).
This paper summarizes our recent studies on NBTI-induced dynamic variability, focusing on the CCV effect, with more details on the statistical modeling, circuit reliability simulation methodologies and experimental results.
To date, eight tutorials have been published (http://www.nature.com/psp/tutorials/index.html), providing practical hands-on introductions to a variety of modeling and simulation methodologies and tools.
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Section IV discusses the simulation methodology and results.
We now consider an ENBF model and a core-periphery network as described in the section "Simulation methodology" and choose t=1/20 and α=10%.
The proposed CC configuration and packet scheduling algorithms are described in Section 3. Section 4 introduces the simulation methodology and main assumptions.
Very good comparison between simulation results and experimental data demonstrate validity of the proposed simulation methodology and HEMT structures analysis.
The baseline for the simulation methodology and system modeling are the guidelines provided by [17] for the evaluation of International Mobile Telecommunications Advanced (IMT-Advanced) technologies.
In this section, we explain the simulation methodology and performance metrics we use to evaluate the effectiveness of the TCP NRT algorithm in MWNs.
Some developing simulation techniques, including implicit regression and explicit calculation method for refrigerant thermodynamic properties, model-based intelligent simulation methodology and graph-theory based simulation method, are presented.
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