Abstract
Careful organization of the information available regarding a system and any associated mathematical models is of great importance as a first step in the development of a simulation. This information must include a statement concerning the intended application of the simulation and the reasons for undertaking the investigation. The data to be used in establishing values of constants in the simulation model must be thoroughly assessed since the value of the simulation will be highly dependent on the error bounds and other uncertainties associated with the numerical values of these quantities. There is little point in obtaining simulation results to a very high degree of accuracy if the parameters of the underlying model are known only to within 20% or 30%. Careful assessment of the source data in this way also ensures that any omissions or inconsistencies are spotted at an early stage, thus allowing steps to be taken to obtain further data if necessary, without delaying the development of the computer implementation.
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© 1995 D.J. Murray-Smith
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Murray-Smith, D.J. (1995). Problem Organization for Continuous System Simulation. In: Continuous System Simulation. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-2504-2_3
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DOI: https://doi.org/10.1007/978-1-4615-2504-2_3
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