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Solving Parametric Sparse Linear Systems by Local Blocking

机译:通过局部阻塞求解参数稀疏线性系统

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摘要

In industry, the “model-based development (MBD)” is becoming very important. The MBD is as follows. In the development of a machine or a plant, its theoretical model is given first, where the model is a system of differential-algebraic equations (DAEs) with quite many parameters in coefficients, and the model is tested by numerical simulation to determine optimal parameter values [1]. One important feature of the model is that each equation contains several terms mostly, hence the resulting linear system is very sparse. The DAEs are very ill-conditioned to solve numerically, so it is usually converted into a system of ordinary differential equations; we do not enter into the conversion in this poster.
机译:在工业上,“基于模型的开发(MBD)”变得非常重要。 MBD如下。在开发机器或工厂时,首先给出其理论模型,其中该模型是一个系数参数非常多的微分代数方程组(DAE),并通过数值模拟对模型进行测试以确定最佳参数。值[1]。该模型的一个重要特征是每个方程主要包含多个项,因此所得线性系统非常稀疏。 DAE的条件非常差,无法求解数值,因此通常将其转换为常微分方程组。我们不在此海报中进行转换。

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