An adaptive, training-free reduced-order model for convection-dominated problems based on hybrid snapshots

Cites Work

Unnamed Item
Discovering governing equations from data by sparse identification of nonlinear dynamical systems
Genuinely multi-dimensional explicit and implicit generalized Shapiro filters for weather forecasting, computational fluid dynamics and aeroacoustics
The GNAT method for nonlinear model reduction: effective implementation and application to computational fluid dynamics and turbulent flows
Stabilization of projection-based reduced order models for linear time-invariant systems via optimization-based eigenvalue reassignment
Proper orthogonal decomposition closure models for turbulent flows: a numerical comparison
Fast local reduced basis updates for the efficient reduction of nonlinear systems with hyper-reduction
Enablers for robust POD models
Approximate Riemann solvers, parameter vectors, and difference schemes
Compact finite difference schemes with spectral-like resolution
Galerkin v. least-squares Petrov-Galerkin projection in nonlinear model reduction
An `empirical interpolation' method: Application to efficient reduced-basis discretization of partial differential equations
On the use of higher-order finite-difference schemes on curvilinear and deforming meshes
Model reduction for compressible flows using POD and Galerkin projection
Model reduction of convection-dominated partial differential equations via optimization-based implicit feature tracking
On the stability of projection-based model order reduction for convection-dominated laminar and turbulent flows
Model reduction of dynamical systems on nonlinear manifolds using deep convolutional autoencoders
Data-driven closure of projection-based reduced order models for unsteady compressible flows
Data-driven operator inference for nonintrusive projection-based model reduction
Towards the ultimate conservative difference scheme. V. A second-order sequel to Godunov's method
Fast low-rank modifications of the thin singular value decomposition
Unsteady flow sensing and estimation via the gappy proper orthogonal decomposition
A FOM/ROM hybrid approach for accelerating numerical simulations
A reduced order modeling method based on GNAT-embedded hybrid snapshot simulation
Quadratic approximation manifold for mitigating the Kolmogorov barrier in nonlinear projection-based model order reduction
Operator inference for non-intrusive model reduction with quadratic manifolds
Compact Reconstruction Schemes with Weighted ENO Limiting for Hyperbolic Conservation Laws
Online Adaptive Model Reduction for Nonlinear Systems via Low-Rank Updates
Nonlinear model order reduction based on local reduced-order bases
Nonlinear Model Reduction via Discrete Empirical Interpolation
The need for a pressure-term representation in empirical Galerkin models of incompressible shear flows
A Registration Method for Model Order Reduction: Data Compression and Geometry Reduction
Model Reduction for Transport-Dominated Problems via Online Adaptive Bases and Adaptive Sampling
Stability of Discrete Empirical Interpolation and Gappy Proper Orthogonal Decomposition with Randomized and Deterministic Sampling Points
Construction of reduced-order models for fluid flows using deep feedforward neural networks

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