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A quantitative metric for robustness of nonlinear algebraic equation solvers

机译:非线性代数方程求解器鲁棒性的定量度量

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Practitioners in the area of dynamic simulation of technical systems report difficulties at times with steady-state initialization of models developed using general declarative modeling languages. These difficulties are analyzed in detail in this work and a rigorous approach to quantify robustness in the context of nonlinear algebraic equation systems is presented. This tool is then utilized in a study of six state of the art gradient-based iterative solvers on a set of industrial test problems. Finally, conclusions are drawn on the observed solver robustness in general, and it is argued whether the reported difficulties with steady-state initialization can be supported using the proposed quantitative metric.
机译:技术系统动态仿真领域的从业人员有时会报告使用通用声明性建模语言开发的模型进行稳态初始化时遇到的困难。在工作中详细分析了这些困难,并提出了一种在非线性代数方程系统中量化鲁棒性的严格方法。然后,该工具将用于研究一组工业测试问题中的六个基于梯度的最先进迭代求解器。最后,对观察到的求解器的鲁棒性进行了一般性的结论,并争论了使用所提出的量化指标是否可以支持所报告的稳态初始化困难。

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