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Numerical Approximation of the Magnetoquasistatic Model with Uncertainties: Applications in Magnet Design
Paperback
Series: Springer Theses
Technology & EngineeringPhysics
ISBN13: 9783319823164
Publisher: Springer Nature
Published: Apr 22 2018
Pages: 114
Weight: 0.45
Height: 0.30 Width: 6.14 Depth: 9.21
Language: English
Quantification Principles.- Magnetoquasistatic Model and its Numerical Approximation.- Parametric Model, Continuity and First Order Sensitivity Analysis.- Uncertainty Quantification.- Uncertainty Quantification for Magnets.- Conclusion and Outlook.
1 different editions
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Numerical Approximation of the Magnetoquasistatic Model with Uncertainties: Applications in Magnet Design
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