Titlebook: Computer Simulation Validation; Fundamental Concepts Claus Beisbart,Nicole J. Saam Book 2019 Springer Nature Switzerland AG 2019 Computer S

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opportune

古文字學

Aggressive

SLING

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Matter in the Seventeenth Centurymatical and verification assures the connection between the modeling intended and achieved in code. Code verification is a process where the correctness of a computer code for simulation and modeling is proven. This “proof” is defined by the collection of evidence that the numerical approximations a

窗簾等

Matter in the Eighteenth Centuryng errors and is capable, given sufficient discretization, of approaching exact mathematical solutions. This requires the evaluation of discretization errors using known benchmark solutions. The best benchmarks are exact analytical solutions with a sufficiently complex solution structure; they need

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Physics and Matter in the Nineteenth Centuryl’s output against the historical, real-world data. Four families of techniques are discussed that are used in the context of validation. One is based on the comparison of statistical summaries of the historical data and the model output. The second is used where the models and data are stochastic,

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https://doi.org/10.1007/978-3-031-36558-4n this chapter, we detail methods for analysing the output of stochastic simulation models. We consider terminating and non-terminating simulations and demonstrate how to set initial conditions for the former, and how to determine the length of the warm-up period in the latter using Welch’s method a

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