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Numerical Analysis of Multiscale Problems

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Cover of 'Numerical Analysis of Multiscale Problems'

Table of Contents

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    Book Overview
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    Chapter 1 Multiscale Modelling and Inverse Problems
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    Chapter 2 Transported Probability and Mass Density Function (PDF/MDF) Methods for Uncertainty Assessment and Multi-Scale Problems
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    Chapter 3 A Computational and Theoretical Investigation of the Accuracy of Quasicontinuum Methods
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    Chapter 4 Coarse-Grid Multiscale Model Reduction Techniques for Flows in Heterogeneous Media and Applications
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    Chapter 5 Fast Algorithms for High Frequency Wave Propagation
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    Chapter 6 Uncertainty Quantification for Subsurface Flow Problems Using Coarse-Scale Models
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    Chapter 7 Sparse Tensor Approximation of Parametric Eigenvalue Problems
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    Chapter 8 Mixed Multiscale Methods for Heterogeneous Elliptic Problems
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    Chapter 9 On Stability of Discretizations of the Helmholtz Equation
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    Chapter 10 Why it is Difficult to Solve Helmholtz Problems with Classical Iterative Methods
Attention for Chapter 7: Sparse Tensor Approximation of Parametric Eigenvalue Problems
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Citations

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Chapter title
Sparse Tensor Approximation of Parametric Eigenvalue Problems
Chapter number 7
Book title
Numerical Analysis of Multiscale Problems
Published by
Springer, Berlin, Heidelberg, January 2012
DOI 10.1007/978-3-642-22061-6_7
Book ISBNs
978-3-64-222060-9, 978-3-64-222061-6
Authors

Roman Andreev, Christoph Schwab, Andreev, Roman, Schwab, Christoph

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 71%
Other 1 14%
Unknown 1 14%
Readers by discipline Count As %
Mathematics 4 57%
Computer Science 1 14%
Unknown 2 29%

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