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Reduced Order Methods for Modeling and Computational Reduction

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Cover of 'Reduced Order Methods for Modeling and Computational Reduction'

Table of Contents

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    Book Overview
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    Chapter 1 A Novel Approach to Model Order Reduction for Coupled Multiphysics Problems
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    Chapter 2 Case Study: Parametrized Reduction Using Reduced-Basis and the Loewner Framework
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    Chapter 3 Comparison of Some Reduced Representation Approximations
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    Chapter 4 Application of the Discrete Empirical Interpolation Method to Reduced Order Modeling of Nonlinear and Parametric Systems
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    Chapter 5 Greedy Sampling Using Nonlinear Optimization
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    Chapter 6 A Robust Algorithm for Parametric Model Order Reduction Based on Implicit Moment Matching
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    Chapter 7 On the Use of Reduced Basis Methods to Accelerate and Stabilize the Parareal Method
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    Chapter 8 On the Stability of Reduced-Order Linearized Computational Fluid Dynamics Models Based on POD and Galerkin Projection: Descriptor vs Non-Descriptor Forms
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    Chapter 9 Model Order Reduction in Fluid Dynamics: Challenges and Perspectives
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    Chapter 10 Window Proper Orthogonal Decomposition: Application to Continuum and Atomistic Data
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    Chapter 11 Reduced Order Models at Work in Aeronautics and Medicine
Attention for Chapter 10: Window Proper Orthogonal Decomposition: Application to Continuum and Atomistic Data
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Chapter title
Window Proper Orthogonal Decomposition: Application to Continuum and Atomistic Data
Chapter number 10
Book title
Reduced Order Methods for Modeling and Computational Reduction
Published by
Springer International Publishing, January 2014
DOI 10.1007/978-3-319-02090-7_10
Book ISBNs
978-3-31-902089-1, 978-3-31-902090-7
Authors

Leopold Grinberg, Mingge Deng, George Em Karniadakis, Alexander Yakhot

Editors

Alfio Quarteroni, Gianluigi Rozza

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 33%
Unknown 4 67%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 67%
Researcher 2 33%
Readers by discipline Count As %
Engineering 3 50%
Mathematics 1 17%
Chemistry 1 17%
Materials Science 1 17%

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