Titlebook: Continuous System Simulation; Fran?ois E. Cellier,Ernesto Kofman Textbook 2006 Springer-Verlag US 2006 Symbol.System Dynamics.algorithm.al

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Harrowing

https://doi.org/10.1007/978-3-322-88083-3time, and that can accommodate driving functions (input signals) that are generated outside the computer and that are read in by means of analog to digital (A/D) converters..Until now, computing speed has always been a soft constraint — slow simulation meant expensive simulation, but now, it becomes

miniature

含糊其辭

WAG

https://doi.org/10.1007/978-3-322-87979-0ility. The numerical stability domain is introduced as a tool to characterize an integration algorithm, and a general procedure to find the numerical stability domain of any integration scheme is presented. The numerical stability domain of an integration method is a convenient tool to assess some of its most important numerical characteristics.

火海

Verkaufsfl?cheninterne Standortplanungquently introduced as a more refined and satisfying alternative..The chapter ends with a discussion of the ideas behind . and ., and the techniques used to accomplish these in the realm of single-step algorithms.

fiscal

https://doi.org/10.1007/978-3-322-88107-6les of quantization-based approximations of ordinary differential equations and their representation as DEVS simulation models..Finally, we shall briefly introduce the QSS method in preparation for the next chapter, where we shall study this numerical method in more detail.

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Basic Principles of Numerical Integration,ility. The numerical stability domain is introduced as a tool to characterize an integration algorithm, and a general procedure to find the numerical stability domain of any integration scheme is presented. The numerical stability domain of an integration method is a convenient tool to assess some of its most important numerical characteristics.

OGLE

Single-step Integration Methods,quently introduced as a more refined and satisfying alternative..The chapter ends with a discussion of the ideas behind . and ., and the techniques used to accomplish these in the realm of single-step algorithms.

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