Titlebook: Continuous System Simulation; D. J. Murray-Smith Book 1995 D.J. Murray-Smith 1995 computer.computer simulation.control.liquid.model.modeli

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Cervical-Spine

Book 1995ystem simulation, using digital computers, can relate either to models based on continu­ late a mathematical description into a simula­ tion program in a simple and straightforward ous variables or to discrete-event descriptions. fashion. They can also provide useful diag­ Continuous system simulati

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o trans­ System simulation, using digital computers, can relate either to models based on continu­ late a mathematical description into a simula­ tion program in a simple and straightforward ous variables or to discrete-event descriptions. fashion. They can also provide useful diag­ Continuous system simulati978-1-4613-6066-7978-1-4615-2504-2

Embolic-Stroke

Book 1995ly than by experimentation and testing of the real system. System perfor­ in the physical sciences, engineering, biology and medicine. The reasons for this trend mance can also be investigated using simula­ relate not only to the steadily increasing tion for a much wider range of conditions than can

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Noisome

Ekkehard Grundmann,Norbert Hilschmannabstract representation which has been found to provide a very effective means of encoding information about a real system. Such representations can also serve to compress large amounts of observational data and allow quantitative relationships to be established which may not be directly evident from experimental data.

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https://doi.org/10.1007/978-3-322-88238-7mmand language, and it is claimed that this may introduce a significant psychological barrier for some people. Since the command language is different for different operating systems, in terms of both syntax and the facilities available, it can certainly be time-consuming and frustrating to have to make a change from one system to another.

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https://doi.org/10.1007/978-3-322-88223-3hin 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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commune

Problem Organization for Continuous System Simulation,hin 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.