Inadequacy of linear methods for minimal sensor placement and feature selection in nonlinear systems: a new approach using secants

DOI10.1007/s00332-022-09806-9OpenAlexW3123954254MaRDI QIDQ2163754

Samuel E. Otto, Clarence W. Rowley

Publication date: 10 August 2022

Published in: Journal of Nonlinear Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2101.11162

zbMATH Keywords

state estimationgreedy algorithmsnonlinear inverse problemsfeature selectionmanifold learningreduced-order modelingshock-turbulence interactionsubmodular optimization

Mathematics Subject Classification ID

Statistics (62-XX) Calculus of variations and optimal control; optimization (49-XX) Operations research, mathematical programming (90-XX)

Related Items (1)

From snapshots to manifolds – a tale of shear flows

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