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Randomized low‐rank approximation methods for projection‐based model order reduction of large nonlinear dynamical problems
International Journal for Numerical Methods in Engineering
◽
10.1002/nme.6009
◽
2019
◽
Vol 118
(4)
◽
pp. 209-241
◽
Cited By ~ 11
Author(s):
C. Bach
◽
D. Ceglia
◽
L. Song
◽
F. Duddeck
Keyword(s):
Model Order Reduction
◽
Order Reduction
◽
Low Rank
◽
Approximation Methods
◽
Low Rank Approximation
◽
Model Order
◽
Nonlinear Dynamical
◽
Rank Approximation
Download Full-text
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References
Fixed‐precision randomized low‐rank approximation methods for nonlinear model order reduction of large systems
International Journal for Numerical Methods in Engineering
◽
10.1002/nme.6068
◽
2019
◽
Vol 119
(8)
◽
pp. 687-711
◽
Cited By ~ 1
Author(s):
C. Bach
◽
F. Duddeck
◽
L. Song
Keyword(s):
Nonlinear Model
◽
Model Order Reduction
◽
Order Reduction
◽
Low Rank
◽
Approximation Methods
◽
Low Rank Approximation
◽
Model Order
◽
Rank Approximation
◽
Large Systems
Download Full-text
A Model-Order Reduction Technique for Low Rank Rational Perturbations of Linear Eigenproblems
Applied Parallel Computing. State of the Art in Scientific Computing - Lecture Notes in Computer Science
◽
10.1007/11558958_35
◽
2006
◽
pp. 296-304
Author(s):
Frank Blömeling
◽
Heinrich Voss
Keyword(s):
Model Order Reduction
◽
Order Reduction
◽
Reduction Technique
◽
Low Rank
◽
Model Order
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Chapter 4: Low-Rank Methods for High-Dimensional Approximation and Model Order Reduction
Model Reduction and Approximation
◽
10.1137/1.9781611974829.ch4
◽
2017
◽
pp. 171-226
◽
Cited By ~ 7
Author(s):
Anthony Nouy
Keyword(s):
Model Order Reduction
◽
Order Reduction
◽
Low Rank
◽
High Dimensional
◽
Model Order
◽
Dimensional Approximation
Download Full-text
Parameterized model order reduction of nonlinear dynamical systems
ICCAD-2005. IEEE/ACM International Conference on Computer-Aided Design, 2005.
◽
10.1109/iccad.2005.1560117
◽
2005
◽
Cited By ~ 28
Author(s):
B. Bond
◽
L. Daniel
Keyword(s):
Dynamical Systems
◽
Model Order Reduction
◽
Nonlinear Dynamical Systems
◽
Order Reduction
◽
Model Order
◽
Nonlinear Dynamical
◽
Parameterized Model
◽
Parameterized Model Order Reduction
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Model Order Reduction of Nonlinear Dynamical Systems
Progress in Industrial Mathematics at ECMI 2004 - Mathematics in Industry
◽
10.1007/3-540-28073-1_11
◽
2006
◽
pp. 114-118
Author(s):
C. Brennan
◽
M. Condon
◽
R. Ivanov
Keyword(s):
Dynamical Systems
◽
Model Order Reduction
◽
Nonlinear Dynamical Systems
◽
Order Reduction
◽
Model Order
◽
Nonlinear Dynamical
Download Full-text
Efficient Hotspot Thermal Simulation Via Low-Rank Model Order Reduction
2018 15th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD)
◽
10.1109/smacd.2018.8434858
◽
2018
◽
Cited By ~ 1
Author(s):
George Floros
◽
Nestor Evmorfopoulos
◽
George Stamoulis
Keyword(s):
Model Order Reduction
◽
Order Reduction
◽
Thermal Simulation
◽
Low Rank
◽
Model Order
Download Full-text
Model Order and Terminal Reduction Approaches via Matrix Decomposition and Low Rank Approximation
Scientific Computing in Electrical Engineering SCEE 2008 - Mathematics in Industry
◽
10.1007/978-3-642-12294-1_64
◽
2010
◽
pp. 523-530
◽
Cited By ~ 7
Author(s):
Peter Benner
◽
André Schneider
Keyword(s):
Matrix Decomposition
◽
Low Rank
◽
Low Rank Approximation
◽
Model Order
◽
Rank Approximation
Download Full-text
Nonlinear model order reduction with low rank tensor approximation
Asian Journal of Control
◽
10.1002/asjc.2263
◽
2020
◽
Author(s):
Junman Yang
◽
Yao‐Lin Jiang
◽
Kang‐Li Xu
Keyword(s):
Nonlinear Model
◽
Model Order Reduction
◽
Order Reduction
◽
Low Rank
◽
Model Order
◽
Rank Tensor
◽
Tensor Approximation
Download Full-text
An adaptive model order reduction by proper snapshot selection for nonlinear dynamical problems
Computational Mechanics
◽
10.1007/s00466-015-1238-y
◽
2016
◽
Vol 57
(4)
◽
pp. 537-554
◽
Cited By ~ 4
Author(s):
P. S. B. Nigro
◽
M. Anndif
◽
Y. Teixeira
◽
P. M. Pimenta
◽
P. Wriggers
Keyword(s):
Model Order Reduction
◽
Order Reduction
◽
Adaptive Model
◽
Model Order
◽
Nonlinear Dynamical
◽
Selection For
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Parametric model order reduction without a priori sampling for low rank changes in vibro-acoustic systems
Mechanical Systems and Signal Processing
◽
10.1016/j.ymssp.2019.05.035
◽
2019
◽
Vol 130
◽
pp. 597-609
◽
Cited By ~ 3
Author(s):
S. van Ophem
◽
E. Deckers
◽
W. Desmet
Keyword(s):
Model Order Reduction
◽
A Priori
◽
Order Reduction
◽
Parametric Model
◽
Low Rank
◽
Model Order
◽
Parametric Model Order Reduction
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