Numerical Approximation of the Magnetoquasistatic Model with Uncertainties: Applications in Magnet Design (Springer Theses)

Numerical Approximation of Magnetoquasistatic Model with Uncertainties – Applications in Magnet Design

Numerical Approximation of the Magnetoquasistatic Model with Uncertainties: Applications in Magnet Design (Springer Theses)

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Numerical Approximation of the Magnetoquasistatic Model with Uncertainties: Applications in Magnet Design (Springer Theses)

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Numerical Approximation of the Magnetoquasistatic Model with Uncertainties: Applications in Magnet Design (Springer Theses)

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Numerical Approximation of the Magnetoquasistatic Model with Uncertainties: Applications in Magnet Design (Springer Theses)

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Based on a total of 67 customer reviews from independent review platforms.

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Numerical Approximation of the Magnetoquasistatic Model with Uncertainties: Applications in Magnet Design (Springer Theses)

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Numerical Approximation of the Magnetoquasistatic Model with Uncertainties: Applications in Magnet Design (Springer Theses)

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Numerical Approximation of the Magnetoquasistatic Model with Uncertainties: Applications in Magnet Design (Springer Theses)

Overall Rating: 1.3 / 5 (average from multiple review sources, as of 27 Jul 2026)
Based on a total of 67 customer reviews from independent review platforms.

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Numerical Approximation of the Magnetoquasistatic Model with Uncertainties: Applications in Magnet Design (Springer Theses)

Overall Rating: 1.3 / 5 (average from multiple review sources, as of 27 Jul 2026)
Based on a total of 67 customer reviews from independent review platforms.

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Numerical Approximation of the Magnetoquasistatic Model with Uncertainties: Applications in Magnet Design (Springer Theses)

Overall Rating: 1.3 / 5 (average from multiple review sources, as of 27 Jul 2026)
Based on a total of 67 customer reviews from independent review platforms.

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Numerical Approximation of the Magnetoquasistatic Model with Uncertainties: Applications in Magnet Design (Springer Theses)

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Pages: 136, Edition: Softcover reprint of the original 1st ed. 2016, Paperback, Springer
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