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Kinetics: Simulation and Analysis
2013Data simulation and analysis bridge the gap between a mechanistic or kinetic model of a certain reaction and the corresponding experimental data. Since the temporal behavior of most dynamic systems is nonlinear and highly complex, it usually cannot be deduced intuitively. Although in some cases, kinetic models can be simplistic enough to allow for some
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Qualitative analysis simulation
Journal of Chemical Education, 1979An interactive computer program simulating common qualitative analysis techniques that are suitable to identify 12 cations.
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Systems Analysis of Driving Simulation
Human Factors: The Journal of the Human Factors and Ergonomics Society, 1964System analysis procedures as applied to driving simulators must accomplish several bask tasks: (1) they must identify the system components and interactions that are to be simulated; (2) they must specify the degree of simulation of each component in the system. In this case, the extent to which the automobile and the environment are to be reproduced
L E, SCHLESINGER, B, KARMEL, S, COHEN
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2014
In the previous three chapters the author has considered direct connections between the brief and the design representation, between discrete items in the brief, such as requirements or constraints, and attributes of entities or relationships between entities in the design.
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In the previous three chapters the author has considered direct connections between the brief and the design representation, between discrete items in the brief, such as requirements or constraints, and attributes of entities or relationships between entities in the design.
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Spectrophotometric analysis simulation
Journal of Chemical Education, 1978A Basic computer program has been written that completely simulates a spectrophotometric analysis of an unknown solution. This includes measuring the absorbance spectrum of the compound, selection of wavelength for the analysis, determining the relationship between absorbance and concentration, and making any dilutions needed.
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2009
The goal in analyzing output data from running a simulation model is to make a valid statistical inference about the initial and long-term average behavior of the system based on the sample average from N replicate simulation runs. Output Analysis is the analysis of data generated by a simulation run to predict system performance or compare performance
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The goal in analyzing output data from running a simulation model is to make a valid statistical inference about the initial and long-term average behavior of the system based on the sample average from N replicate simulation runs. Output Analysis is the analysis of data generated by a simulation run to predict system performance or compare performance
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System Performance Simulation and Analysis
2008The performance evaluation of different system architectures and the development of tailored methods to manage FFMSs at operational level are the final decision activities of the design approach presented in this book. In this chapter a simulation theory-based tool is presented.
GRIECO, Antonio Domenico, NUCCI F.
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Statistical Analysis for Queueing Simulations
Management Science, 1973This paper presents a method for estimating the variances of sample performance measures in queueing simulations, for removing the bias in these sample measures due to initial conditions and for deriving approximating confidence intervals for the true performance measures.
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Business Trend Analysis by Simulation
2010Business processes are constantly affected by the environment in which they execute. The environment can change due to seasonal and financial trends. For organisations it is crucial to understand their processes and to be able to estimate the effects of these trends on the processes.
Schonenberg, H. +3 more
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1998
Computer simulation has been applied to VLSI design for several decades. Most simulation programs operate on mathematical models which mimic the physical laws and properties of the object under simulation. Today, simulation is used for functional verification, performance, cost, reliability and power analysis.
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Computer simulation has been applied to VLSI design for several decades. Most simulation programs operate on mathematical models which mimic the physical laws and properties of the object under simulation. Today, simulation is used for functional verification, performance, cost, reliability and power analysis.
openaire +1 more source