Online Adaptive Model Reduction for Nonlinear Systems via Low-Rank Updates (Q2947046)

scientific article

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English	Online Adaptive Model Reduction for Nonlinear Systems via Low-Rank Updates	scientific article

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instance of

scholarly article

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title

Online Adaptive Model Reduction for Nonlinear Systems via Low-Rank Updates (English)

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author

Benjamin Peherstorfer

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Karen Willcox

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published in

SIAM Journal on Scientific Computing

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publication date

21 September 2015

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full work available at URL

http://hdl.handle.net/1721.1/100551

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zbMATH Keywords

adaptive model reduction

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nonlinear systems

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empirical interpolation

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proper orthogonal decomposition

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numerical experiment

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describes a project that uses

fminsearch

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MaRDI profile type

MaRDI publication profile

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cites work

An Online Method for Interpolating Linear Parametric Reduced-Order Models

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Nonlinear model order reduction based on local reduced-order bases

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Missing Point Estimation in Models Described by Proper Orthogonal Decomposition

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An `empirical interpolation' method: Application to efficient reduced-basis discretization of partial differential equations

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Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space

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Adaptiveh-refinement for reduced-order models

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Efficient non-linear model reduction via a least-squares Petrov-Galerkin projection and compressive tensor approximations

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Nonlinear Model Reduction via Discrete Empirical Interpolation

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Accurate and efficient evaluation of failure probability for partial different equations with random input data

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A weighted empirical interpolation method:a prioriconvergence analysis and applications

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A priori hyperreduction method: an adaptive approach

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Parameter multi-domain ‘hp ’ empirical interpolation

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Q4917542

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Convergence Rates of the POD–Greedy Method

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Q4593430

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Convergence Properties of the Nelder--Mead Simplex Method in Low Dimensions

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Evaluation of failure probability via surrogate models

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Locally Adaptive Greedy Approximations for Anisotropic Parameter Reduced Basis Spaces

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Accelerating iterative solution methods using reduced‐order models as solution predictors

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Principal component analysis in linear systems: Controllability, observability, and model reduction

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An adaptive and efficient greedy procedure for the optimal training of parametric reduced-order models

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Localized Discrete Empirical Interpolation Method

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An Online Manifold Learning Approach for Model Reduction of Dynamical Systems

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Reduced order models based on local POD plus Galerkin projection

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Reduced basis approximation and a posteriori error estimation for affinely parametrized elliptic coercive partial differential equations. Application to transport and continuum mechanics.

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Turbulence and the dynamics of coherent structures. I. Coherent structures

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Certified real‐time solution of the parametrized steady incompressible Navier–Stokes equations: rigorous reduced‐basis a posteriori error bounds

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Progressive construction of a parametric reduced‐order model for PDE‐constrained optimization

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A Locally Parametrized Reduced-Order Model for the Linear Frequency Domain Approach to Time-Accurate Computational Fluid Dynamics

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Identifiers

zbMATH Open document ID

1323.65102

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DOI

10.1137/140989169

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Mathematics Subject Classification ID

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Sitelinks

Mathematics(1 entry)

mardi Publication:2947046