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首页> 外文期刊>ESAIM. Mathematical modelling and numerical analysis >NONINTRUSIVE APPROXIMATION OF PARAMETRIZED LIMITS OF MATRIX POWER ALGORITHMS - APPLICATION TO MATRIX INVERSES AND LOG-DETERMINANTS
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NONINTRUSIVE APPROXIMATION OF PARAMETRIZED LIMITS OF MATRIX POWER ALGORITHMS - APPLICATION TO MATRIX INVERSES AND LOG-DETERMINANTS

机译:矩阵功率算法参数化限制的非识别近似 - 应用于矩阵逆和记录 - 决定簇

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摘要

We consider in this work quantities that can be obtained as limits of powers of parametrized matrices, for instance the inverse matrix or the logarithm of the determinant. Under the assumption of affine dependence in the parameters, we use the Empirical Interpolation Method (EIM) to derive an approximation for powers of these matrices, from which we derive a nonintrusive approximation for the aforementioned limits. We derive upper bounds of the error made by the obtained formula. Finally, numerical comparisons with classical intrusive and nonintrusive approximation techniques are provided: in the considered test-cases, our algorithm performs well compared to the nonintrusive ones.
机译:我们考虑在该工作量中,可以获得作为参数化矩阵的功率的限制,例如逆矩阵或决定簇的对数。 在参数中的仿射依赖性的假设下,我们使用经验插值方法(EIM)来得出这些矩阵的功率的近似,从中推导出上述限制的非近似值。 我们派生了所得公式所制作的误差的上限。 最后,提供了具有经典侵入性和非功能性近似技术的数值比较:在考虑的测试情况下,我们的算法与非流入的算法相比表现良好。

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