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Quantitative Validation of Mathematical Models

机译:数学模型的定量验证

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摘要

Validation is a process to compare a mathematical model with a set of physical experiment to quantify the accuracy of the model to represent the physical world (experiment). Because the goal is to use experiments to quantify the accuracy of the mathematical model, the interaction of the model and experiment must be carefully studied. Advancing the comparison beyond a qualitative nature requires consideration of the errors in the process and the effect of these errors on the comparison. The mathematical model, in conjunction with sensitivity analysis, uncertainty analysis, and statistical analysis are tools for studying the interaction of the model and experiment and quantifying the effect of errors. A model for steady state heat conduction is used to discuss issues associated with the errors in the validation process and demonstrate a quantitative process to study validation of mathematical models.
机译:验证是将数学模型与一组物理实验进行比较以量化模型代表物理世界(实验)的准确性的过程。由于目标是使用实验来量化数学模型的准确性,因此必须仔细研究模型与实验之间的相互作用。超越质量定性进行比较需要考虑过程中的错误以及这些错误对比较的影响。数学模型与敏感性分析,不确定性分析和统计分析相结合,是研究模型与实验之间的相互作用并量化误差影响的工具。稳态热传导模型用于讨论与验证过程中的错误相关的问题,并演示研究数学模型验证的定量过程。

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