Nonintrusive Reduced Order Modelling of Convective Boussinesq Flows (Q5880413)

scientific article; zbMATH DE number 7658869

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English	Nonintrusive Reduced Order Modelling of Convective Boussinesq Flows	scientific article; zbMATH DE number 7658869

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instance of

scholarly article

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title

Nonintrusive Reduced Order Modelling of Convective Boussinesq Flows (English)

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International Journal of Computational Fluid Dynamics

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publication date

2 March 2023

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full work available at URL

https://arxiv.org/abs/2212.07522

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zbMATH Keywords

dynamic mode decomposition

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nonlinear proper orthogonal decomposition

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long short-term memory network

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autoencoder

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machine learning

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incompressible Boussinesq equations

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describes a project that uses

redbKIT

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MaRDI profile type

MaRDI publication profile

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cites work

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

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The GNAT method for nonlinear model reduction: effective implementation and application to computational fluid dynamics and turbulent flows

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Recovering missing CFD data for high-order discretizations using deep neural networks and dynamics learning

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Nonlinear Model Reduction via Discrete Empirical Interpolation

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Efficient reduced-basis treatment of nonaffine and nonlinear partial differential equations

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On the stability of projection-based model order reduction for convection-dominated laminar and turbulent flows

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Practical error bounds for a non-intrusive bi-fidelity approach to parametric/stochastic model reduction

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Nonlinear principal component analysis of noisy data

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Neural dynamic mode decomposition for end-to-end modeling of nonlinear dynamics

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Extension of dynamic mode decomposition for dynamic systems with incomplete information based on t-model of optimal prediction

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Q2957673

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Linearly Recurrent Autoencoder Networks for Learning Dynamics

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Sparsity-promoting algorithms for the discovery of informative Koopman-invariant subspaces

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Physics-Informed Probabilistic Learning of Linear Embeddings of Nonlinear Dynamics with Guaranteed Stability

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Data-driven operator inference for nonintrusive projection-based model reduction

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Model order reduction for nonlinear dynamical systems based on trajectory piecewise-linear approximations

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A stabilized proper orthogonal decomposition reduced-order model for large scale quasigeostrophic ocean circulation

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POD/DEIM nonlinear model order reduction of an ADI implicit shallow water equations model

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Non-intrusive reduced order modeling of unsteady flows using artificial neural networks with application to a combustion problem

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Nonlinear model reduction for the Navier-Stokes equations using residual DEIM method

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Non-intrusive reduced order modelling of the Navier-Stokes equations

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Non‐intrusive reduced‐order modelling of the Navier–Stokes equations based on RBF interpolation

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A domain decomposition non-intrusive reduced order model for turbulent flows

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Non-intrusive reduced order modelling of fluid-structure interactions

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A non-intrusive reduced-order model for compressible fluid and fractured solid coupling and its application to blasting

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Intrusive and data-driven reduced order modelling of the rotating thermal shallow water equation

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Identifiers

DOI

10.1080/10618562.2022.2152014

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Mathematics Subject Classification ID

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Sitelinks

Mathematics(1 entry)

mardi Publication:5880413