相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Data-driven reduced order modeling for time-dependent problems
Mengwu Guo et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2019)
A domain decomposition non-intrusive reduced order model for turbulent flows
D. Xiao et al.
COMPUTERS & FLUIDS (2019)
Linearly Recurrent Autoencoder Networks for Learning Dynamics
Samuel E. Otto et al.
SIAM JOURNAL ON APPLIED DYNAMICAL SYSTEMS (2019)
Non-intrusive reduced order modeling of unsteady flows using artificial neural networks with application to a combustion problem
Qian Wang et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2019)
Adaptive non-intrusive reduced order modeling for compressible flows
Jian Yu et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2019)
Flowfield Reconstruction Method Using Artificial Neural Network
Jian Yu et al.
AIAA JOURNAL (2019)
Reduced order modeling for nonlinear structural analysis using Gaussian process regression
Mengwu Guo et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2018)
A review on design of experiments and surrogate models in aircraft real-time and many-query aerodynamic analyses
Raul Yondo et al.
PROGRESS IN AEROSPACE SCIENCES (2018)
Greedy Nonintrusive Reduced Order Model for Fluid Dynamics
Wang Chen et al.
AIAA JOURNAL (2018)
Chaos as an intermittently forced linear system
Steven L. Brunton et al.
NATURE COMMUNICATIONS (2017)
Modal Analysis of Fluid Flows: An Overview
Kunihiko Taira et al.
AIAA JOURNAL (2017)
A parameterized non-intrusive reduced order model and error analysis for general time-dependent nonlinear partial differential equations and its applications
D. Xiao et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2017)
Data-driven operator inference for nonintrusive projection-based model reduction
Benjamin Peherstorfer et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2016)
Recursive dynamic mode decomposition of transient and post-transient wake flows
Bernd R. Noack et al.
JOURNAL OF FLUID MECHANICS (2016)
Auto-encoder based dimensionality reduction
Yasi Wang et al.
NEUROCOMPUTING (2016)
Multiresolution Dynamic Mode Decomposition
J. Nathan Kutz et al.
SIAM JOURNAL ON APPLIED DYNAMICAL SYSTEMS (2016)
Non-intrusive reduced-order modelling of the Navier-Stokes equations based on RBF interpolation
D. Xiao et al.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS (2015)
A Survey of Projection-Based Model Reduction Methods for Parametric Dynamical Systems
Peter Benner et al.
SIAM REVIEW (2015)
Algorithm 945: modred-A Parallelized Model Reduction Library
Brandt A. Belson et al.
ACM TRANSACTIONS ON MATHEMATICAL SOFTWARE (2014)
Dynamic mode decomposition for large and streaming datasets
Maziar S. Hemati et al.
PHYSICS OF FLUIDS (2014)
A STOCHASTIC COLLOCATION ALGORITHM WITH MULTIFIDELITY MODELS
Akil Narayan et al.
SIAM JOURNAL ON SCIENTIFIC COMPUTING (2014)
Analysis of Fluid Flows via Spectral Properties of the Koopman Operator
Igor Mezic
ANNUAL REVIEW OF FLUID MECHANICS, VOL 45 (2013)
Reduced order modelling for unsteady fluid flow using proper orthogonal decomposition and radial basis functions
S. Walton et al.
APPLIED MATHEMATICAL MODELLING (2013)
The GNAT method for nonlinear model reduction: Effective implementation and application to computational fluid dynamics and turbulent flows
Kevin Carlberg et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2013)
Nonintrusive reduced-order modeling of parametrized time-dependent partial differential equations
Christophe Audouze et al.
NUMERICAL METHODS FOR PARTIAL DIFFERENTIAL EQUATIONS (2013)
Kernels for Vector-Valued Functions: A Review
Mauricio A. Alvarez et al.
FOUNDATIONS AND TRENDS IN MACHINE LEARNING (2012)
Towards an adaptive POD/SVD surrogate model for aeronautic design
T. Braconnier et al.
COMPUTERS & FLUIDS (2011)
Efficient non-linear model reduction via a least-squares Petrov-Galerkin projection and compressive tensor approximations
Kevin Carlberg et al.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING (2011)
Reduced-Order Model for Viscous Aerodynamic Flow Past an Airfoil
D. Alonso et al.
AIAA JOURNAL (2010)
Dynamic mode decomposition of numerical and experimental data
Peter J. Schmid
JOURNAL OF FLUID MECHANICS (2010)
NONLINEAR MODEL REDUCTION VIA DISCRETE EMPIRICAL INTERPOLATION
Saifon Chaturantabut et al.
SIAM JOURNAL ON SCIENTIFIC COMPUTING (2010)
Spectral analysis of nonlinear flows
Clarence W. Rowley et al.
JOURNAL OF FLUID MECHANICS (2009)
Missing Point Estimation in Models Described by Proper Orthogonal Decomposition
Patricia Astrid et al.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2008)
Generation of Aerodynamic Databases Using High-Order Singular Value Decomposition
L. S. Lorente et al.
JOURNAL OF AIRCRAFT (2008)
Efficient reduced-basis treatment of nonaffine and nonlinear partial differential equations
Martin A. Grepl et al.
ESAIM-MATHEMATICAL MODELLING AND NUMERICAL ANALYSIS-MODELISATION MATHEMATIQUE ET ANALYSE NUMERIQUE (2007)
Diffusion maps and coarse-graining: A unified framework for dimensionality reduction, graph partitioning, and data set parameterization
Stephane Lafon et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2006)
Reducing the dimensionality of data with neural networks
G. E. Hinton et al.
SCIENCE (2006)
Accuracy of radial basis function interpolation and derivative approximations on 1-D infinite grids
B Fornberg et al.
ADVANCES IN COMPUTATIONAL MATHEMATICS (2005)
An 'empirical interpolation' method: application to efficient reduced-basis discretization of partial differential equations
M Barrault et al.
COMPTES RENDUS MATHEMATIQUE (2004)
Principal manifolds and nonlinear dimensionality reduction via tangent space alignment
ZY Zhang et al.
SIAM JOURNAL ON SCIENTIFIC COMPUTING (2004)
A hierarchy of low-dimensional models for the transient and post-transient cylinder wake
BR Noack et al.
JOURNAL OF FLUID MECHANICS (2003)
Reduced order modeling of a two-dimensional flow with moving shocks
DJ Lucia et al.
COMPUTERS & FLUIDS (2003)
Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data
DL Donoho et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2003)
Nonlinear dimensionality reduction by locally linear embedding
ST Roweis et al.
SCIENCE (2000)
Predicting the output from a complex computer code when fast approximations are available
MC Kennedy et al.
BIOMETRIKA (2000)