Efficient algorithm for proper orthogonal decomposition of block-structured adaptively refined numerical simulations
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Publication:2675596
DOI10.1016/j.jcp.2022.111527OpenAlexW4292212766WikidataQ113871663 ScholiaQ113871663MaRDI QIDQ2675596
Michael A. Meehan, Sam Simons-Wellin, P. E. Hamlington
Publication date: 24 September 2022
Published in: Journal of Computational Physics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jcp.2022.111527
Turbulence (76Fxx) Numerical linear algebra (65Fxx) Numerical methods for partial differential equations, boundary value problems (65Nxx)
Uses Software
Cites Work
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- Finding structure with randomness: Probabilistic algorithms for constructing approximate matrix decompositions
- POD reduced-order unstructured mesh modeling applied to 2D and 3D fluid flow
- Model reduction for compressible flows using POD and Galerkin projection
- A hyper-reduction method using adaptivity to cut the assembly costs of reduced order models
- Gaussian elimination is not optimal
- A minimum-residual mixed reduced basis method: Exact residual certification and simultaneous finite-element reduced-basis refinement
- Error Control for the Localized Reduced Basis Multiscale Method with Adaptive On-Line Enrichment
- Reduced‐order modelling of an adaptive mesh ocean model
- Turbulence and the dynamics of coherent structures. I. Coherent structures
- Thepandh-pVersions of the Finite Element Method, Basic Principles and Properties
- A set of level 3 basic linear algebra subprograms
- Numerical simulation of laminar reacting flows with complex chemistry
- Data-Driven Science and Engineering
- Turbulence, Coherent Structures, Dynamical Systems and Symmetry
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