SCOWL 发表于 2025-3-21 16:14:38

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抱狗不敢前 发表于 2025-3-21 22:47:02

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Etching 发表于 2025-3-22 02:51:21

sbereiche bringen. Dafür sei auf die großen Standardwerke wie beispielsweise die "Psychiatrie der Gegenwart" oder auf französische und angelsächsische Handbücher verwiesen. Vielmehr liegt das Hauptgewicht auf definitorischen Abgren­ zungen im Sinne eines Gerüstes, das auf Vollständigkeit in der Aufzählung des978-3-642-96154-0

骄傲 发表于 2025-3-22 05:59:59

Book 2018chniques presented to circuit simulations and numerical analysis..Introduces machine learning algorithms at the architecture level and the algorithm levels of abstraction;.Describes new, hybrid solutions for model order reduction;.Presents machine learning algorithms in depth, but simply;.Uses real, industrial applications to verify algorithms..

Verify 发表于 2025-3-22 11:15:42

Introduction,ms. Solving linear ODEs results in matrix form system that can be solved using direct method such as Gaussian elimination method or indirect method (iterative methods) such as Jacobi method, and solving nonlinear ODEs can be done by Newton’s method. These methods are useful for moderately sized prob

Basilar-Artery 发表于 2025-3-22 13:22:46

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dithiolethione 发表于 2025-3-22 18:04:01

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确定 发表于 2025-3-23 05:32:28

Book 2018it, via mathematical models that predict behavior.  The author describes techniques to reduce significantly the time required for simulations involving large-scale ordinary differential equations, which sometimes take several days or even weeks.  This method is called model order reduction (MOR), wh
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查看完整版本: Titlebook: Machine Learning for Model Order Reduction; Khaled Salah Mohamed Book 2018 Springer International Publishing AG 2018 Model Order Reduction