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Empirical sensitivity analysis for computational procedures

机译:计算过程的经验敏感性分析

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Sensitivity analysis in computer science aims to improve stability in computer applications by considering uncertainty due to small perturbations in parameters. Mathematical and computational methods of sensitivity analysis are discussed. Advantages and disadvantages of both methods are addressed. A tool is developed to compute computational sensitivities. This tool was validated using three simple, well understood problems. The tool was then applied to a dynamic power grid system and an agent-based criminal computation. In the case of the power grid system, computational sensitivity analysis agrees with mathematical analysis in reporting stability and no excessive sensitivity. In the case of the criminal computation, the code is found to be unstable.
机译:计算机科学中的灵敏度分析旨在通过考虑由于参数的微小扰动引起的不确定性来提高计算机应用程序的稳定性。讨论了灵敏度分析的数学和计算方法。解决了两种方法的优缺点。开发了一种工具来计算计算灵敏度。使用三个简单的,易于理解的问题验证了此工具。然后将该工具应用于动态电网系统和基于代理的犯罪计算。就电网系统而言,计算灵敏度分析与数学分析在报告稳定性和避免过度灵敏度方面是一致的。在进行犯罪计算的情况下,发现代码不稳定。

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