Titlebook: Numerical Approximation of the Magnetoquasistatic Model with Uncertainties; Applications in Magn Ulrich R?mer Book 2016 The Editor(s) (if a

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

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

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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

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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

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