Springer Theses - Numerical Approximation of the Magnetoquasistatic Model with Uncertainties
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9783319412931, 9783319412948

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Uncertainty Quantification

Springer Theses - Numerical Approximation of the Magnetoquasistatic Model with Uncertainties ◽

10.1007/978-3-319-41294-8_5 ◽

2016 ◽

pp. 65-90

Author(s):

Ulrich Römer

Keyword(s):

Uncertainty Quantification

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Parametric Model, Continuity and First Order Sensitivity Analysis

Springer Theses - Numerical Approximation of the Magnetoquasistatic Model with Uncertainties ◽

10.1007/978-3-319-41294-8_4 ◽

2016 ◽

pp. 39-63

Author(s):

Ulrich Römer

Keyword(s):

Sensitivity Analysis ◽

Parametric Model ◽

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Conclusion and Outlook

Springer Theses - Numerical Approximation of the Magnetoquasistatic Model with Uncertainties ◽

10.1007/978-3-319-41294-8_7 ◽

2016 ◽

pp. 105-106

Author(s):

Ulrich Römer

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Uncertainty Quantification for Magnets

Springer Theses - Numerical Approximation of the Magnetoquasistatic Model with Uncertainties ◽

10.1007/978-3-319-41294-8_6 ◽

2016 ◽

pp. 91-104

Author(s):

Ulrich Römer

Keyword(s):

Uncertainty Quantification

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Introduction

Springer Theses - Numerical Approximation of the Magnetoquasistatic Model with Uncertainties ◽

10.1007/978-3-319-41294-8_1 ◽

2016 ◽

pp. 1-3

Author(s):

Ulrich Römer

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Magnetoquasistatic Model and its Numerical Approximation

Springer Theses - Numerical Approximation of the Magnetoquasistatic Model with Uncertainties ◽

10.1007/978-3-319-41294-8_3 ◽

2016 ◽

pp. 17-38

Author(s):

Ulrich Römer

Keyword(s):

Numerical Approximation

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Magnetoquasistatic Approximation of Maxwell’s Equations, Uncertainty Quantification Principles

Springer Theses - Numerical Approximation of the Magnetoquasistatic Model with Uncertainties ◽

10.1007/978-3-319-41294-8_2 ◽

2016 ◽

pp. 5-15

Author(s):

Ulrich Römer

Keyword(s):

Uncertainty Quantification ◽

Maxwell’S Equations ◽

Maxwell's Equations

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