Non-intrusive reduced order modeling: geometrical framework, high-order models, and a priori analysis of applicability

DOI10.1002/NME.6631zbMATH Open1548.65147MaRDI QIDQ6553961

Wawrzyniec Kostorz, Ann H. Muggeridge, Matthew D. Jackson

Publication date: 12 June 2024

Published in: International Journal for Numerical Methods in Engineering (Search for Journal in Brave)

zbMATH Keywords

dynamical systemsnonlinear dynamicstime integration (explicit)

Mathematics Subject Classification ID

Numerical methods for initial value problems involving ordinary differential equations (65L05) Numerical methods for ordinary differential equations (65L99)

Cites Work

• A non-intrusive reduced-order model for compressible fluid and fractured solid coupling and its application to blasting
• A parametric and non-intrusive reduced order model of car crash simulation
• Error estimation of the parametric non-intrusive reduced order model using machine learning
• Stabilized reduced order models for the advection-diffusion-reaction equation using operator splitting
• Non-intrusive reduced-order modeling using uncertainty-aware deep neural networks and proper orthogonal decomposition: application to flood modeling
• Non-intrusive reduced order modelling of fluid-structure interactions
• Dynamic mode decomposition of numerical and experimental data
• A note on stability in model reduction
• Data-Driven Filtered Reduced Order Modeling of Fluid Flows
• Non‐intrusive reduced‐order modelling of the Navier–Stokes equations based on RBF interpolation
• Derivative-Extended POD Reduced-Order Modeling for Parameter Estimation
• Hybrid Reduced-Order Integration with Proper Orthogonal Decomposition and Dynamic Mode Decomposition
• An efficient and robust method for parameterized nonintrusive reduced-order modeling
• Randomized dynamic mode decomposition for nonintrusive reduced order modelling

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