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Computable error estimators for the approximation of nonlinear problems by linearized models

机译:通过线性化模型逼近非线性问题的可计算误差估计器

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摘要

In the modeling of nonlinear phenomena, a nonlinear model may often be replaced by a linear one, giving rise to a modeling or linearization error. This is in addition to the discretization error introduced when this linear model is solved, using, e.g., the finite element method. We investigate the a posteriori estimation of these errors for a general class of problems characterized by strongly monotone operators. Our results lead to the construction of computable upper estimators for the total error, with identifiable components from each of the these error sources. Several numerical tests evaluating the efficiency of our estimators are provided.
机译:在非线性现象的建模中,非线性模型通常可以由线性模型代替,从而引起建模或线性化误差。这是在使用例如有限元法求解线性模型时引入的离散误差的补充。对于以强单调算子为特征的一般问题,我们研究了这些错误的后验估计。我们的结果导致针对总误差构建了可计算的上估计量,并从这些误差源中的每一个中识别出分量。提供了一些评估我们的估计器效率的数值测试。

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