An adaptive data-driven reduced order model based on higher order dynamic mode decomposition

DOI10.1007/s10915-022-01855-2OpenAlexW4281769411MaRDI QIDQ2149050

Soledad Le Clainche, Víctor Beltrán, José M. Vega

Publication date: 28 June 2022

Published in: Journal of Scientific Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10915-022-01855-2

zbMATH Keywords

complex Ginzburg-Landau equationdata-driven ROMHODMDperiodic and quasi-periodic attractors

Mathematics Subject Classification ID

Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems (65Mxx) Fluid mechanics (76-XX) Partial differential equations of mathematical physics and other areas of application (35Qxx)

Related Items (1)

A dynamic mode decomposition based reduced-order model for parameterized time-dependent partial differential equations

Uses Software

• redbKIT
• GitHub
• HODMD

Cites Work

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• Higher Order Dynamic Mode Decomposition
• Reduced Basis Methods for Partial Differential Equations

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