Reduced Order Methods for Modeling and Computational Reduction
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Published By Springer International Publishing

9783319020891, 9783319020907

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Model Order Reduction in Fluid Dynamics: Challenges and Perspectives

Reduced Order Methods for Modeling and Computational Reduction ◽

10.1007/978-3-319-02090-7_9 ◽

2014 ◽

pp. 235-273 ◽

Cited By ~ 27

Author(s):

Toni Lassila ◽

Andrea Manzoni ◽

Alfio Quarteroni ◽

Gianluigi Rozza

Keyword(s):

Fluid Dynamics ◽

Model Order Reduction ◽

Order Reduction ◽

Model Order

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A Novel Approach to Model Order Reduction for Coupled Multiphysics Problems

Reduced Order Methods for Modeling and Computational Reduction ◽

10.1007/978-3-319-02090-7_1 ◽

2014 ◽

pp. 1-49

Author(s):

Wil H. A. Schilders ◽

Agnieszka Lutowska

Keyword(s):

Model Order Reduction ◽

Order Reduction ◽

Model Order ◽

Novel Approach ◽

Multiphysics Problems

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A Robust Algorithm for Parametric Model Order Reduction Based on Implicit Moment Matching

Reduced Order Methods for Modeling and Computational Reduction ◽

10.1007/978-3-319-02090-7_6 ◽

2014 ◽

pp. 159-185 ◽

Cited By ~ 16

Author(s):

Peter Benner ◽

Lihong Feng

Keyword(s):

Model Order Reduction ◽

Order Reduction ◽

Parametric Model ◽

Moment Matching ◽

Model Order ◽

Robust Algorithm ◽

Parametric Model Order Reduction

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Application of the Discrete Empirical Interpolation Method to Reduced Order Modeling of Nonlinear and Parametric Systems

Reduced Order Methods for Modeling and Computational Reduction ◽

10.1007/978-3-319-02090-7_4 ◽

2014 ◽

pp. 101-136 ◽

Cited By ~ 4

Author(s):

Harbir Antil ◽

Matthias Heinkenschloss ◽

Danny C. Sorensen

Keyword(s):

Interpolation Method ◽

Reduced Order Modeling ◽

Reduced Order ◽

Discrete Empirical Interpolation Method ◽

Empirical Interpolation Method ◽

Parametric Systems ◽

Discrete Empirical Interpolation

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Case Study: Parametrized Reduction Using Reduced-Basis and the Loewner Framework

Reduced Order Methods for Modeling and Computational Reduction ◽

10.1007/978-3-319-02090-7_2 ◽

2014 ◽

pp. 51-66 ◽

Cited By ~ 1

Author(s):

Antonio C. Ionita ◽

Athanasios C. Antoulas

Keyword(s):

Reduced Basis

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Reduced Order Models at Work in Aeronautics and Medicine

Reduced Order Methods for Modeling and Computational Reduction ◽

10.1007/978-3-319-02090-7_11 ◽

2014 ◽

pp. 305-332 ◽

Cited By ~ 1

Author(s):

Michel Bergmann ◽

Thierry Colin ◽

Angelo Iollo ◽

Damiano Lombardi ◽

Olivier Saut ◽

...

Keyword(s):

Reduced Order Models ◽

Reduced Order

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Comparison of Some Reduced Representation Approximations

Reduced Order Methods for Modeling and Computational Reduction ◽

10.1007/978-3-319-02090-7_3 ◽

2014 ◽

pp. 67-100 ◽

Cited By ~ 2

Author(s):

Mario Bebendorf ◽

Yvon Maday ◽

Benjamin Stamm

Keyword(s):

Reduced Representation

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Greedy Sampling Using Nonlinear Optimization

Reduced Order Methods for Modeling and Computational Reduction ◽

10.1007/978-3-319-02090-7_5 ◽

2014 ◽

pp. 137-157 ◽

Cited By ~ 5

Author(s):

Karsten Urban ◽

Stefan Volkwein ◽

Oliver Zeeb

Keyword(s):

Nonlinear Optimization

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Window Proper Orthogonal Decomposition: Application to Continuum and Atomistic Data

Reduced Order Methods for Modeling and Computational Reduction ◽

10.1007/978-3-319-02090-7_10 ◽

2014 ◽

pp. 275-303 ◽

Cited By ~ 1

Author(s):

Leopold Grinberg ◽

Mingge Deng ◽

George Em Karniadakis ◽

Alexander Yakhot

Keyword(s):

Proper Orthogonal Decomposition ◽

Orthogonal Decomposition ◽

Proper Orthogonal

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On the Use of Reduced Basis Methods to Accelerate and Stabilize the Parareal Method

Reduced Order Methods for Modeling and Computational Reduction ◽

10.1007/978-3-319-02090-7_7 ◽

2014 ◽

pp. 187-214 ◽

Cited By ~ 4

Author(s):

Feng Chen ◽

Jan S. Hesthaven ◽

Xueyu Zhu

Keyword(s):

Reduced Basis ◽

Reduced Basis Methods ◽

Parareal Method

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Reduced Order Methods for Modeling and Computational ReductionLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Model Order Reduction in Fluid Dynamics: Challenges and Perspectives

A Novel Approach to Model Order Reduction for Coupled Multiphysics Problems

A Robust Algorithm for Parametric Model Order Reduction Based on Implicit Moment Matching

Application of the Discrete Empirical Interpolation Method to Reduced Order Modeling of Nonlinear and Parametric Systems

Case Study: Parametrized Reduction Using Reduced-Basis and the Loewner Framework

Reduced Order Models at Work in Aeronautics and Medicine

Comparison of Some Reduced Representation Approximations

Greedy Sampling Using Nonlinear Optimization

Window Proper Orthogonal Decomposition: Application to Continuum and Atomistic Data

On the Use of Reduced Basis Methods to Accelerate and Stabilize the Parareal Method

Reduced Order Methods for Modeling and Computational Reduction
Latest Publications