CLAN 发表于 2025-3-23 13:21:51

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Flirtatious 发表于 2025-3-23 13:56:01

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misshapen 发表于 2025-3-23 19:50:22

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联想 发表于 2025-3-24 00:06:53

Uncertainty Quantification for Magnets,In this chapter, tools and techniques developed so far will be applied to the simulation of accelerator magnets with uncertainties.

intrude 发表于 2025-3-24 04:03:57

Conclusion and Outlook,In this work, uncertainty quantification for the nonlinear magnetoquasistatic model with application to magnet design has been addressed.

periodontitis 发表于 2025-3-24 08:10:56

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清唱剧 发表于 2025-3-24 12:16:28

Book 2016ies and geometry, with an emphasis on the preservation of structural physical and mathematical properties. It especially addresses uncertainties in the computer simulation of magnetic fields originating from the manufacturing process. Uncertainties are quantified by approximating a stochastic reform

SPER 发表于 2025-3-24 15:08:45

2190-5053 inties in magnetic fields.Includes relevant numerical exampl.This book presents a comprehensive mathematical approach for solving stochastic magnetic field problems. It discusses variability in material properties and geometry, with an emphasis on the preservation of structural physical and mathemat

混合,搀杂 发表于 2025-3-24 21:45:22

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rectocele 发表于 2025-3-25 02:40:01

Flexibility Strategies for 3DP,d and local to national and global and food security issues are typically diverse, complex and dynamic – perfect territory for an interactive governance approach. Fish make essential contributions to food security at all levels, by providing high quality protein, lipids for brain development and fun
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查看完整版本: Titlebook: Numerical Approximation of the Magnetoquasistatic Model with Uncertainties; Applications in Magn Ulrich Römer Book 2016 The Editor(s) (if a