Greedy Algorithms for Optimal Measurements Selection in State Estimation Using Reduced Models

DOI10.1137/17M1157635zbMath1407.65256WikidataQ129428057 ScholiaQ129428057MaRDI QIDQ4689167

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Publication date: 15 October 2018

Published in: SIAM/ASA Journal on Uncertainty Quantification (Search for Journal in Brave)

zbMATH Keywords

reduced modelsgreedy algorithmsdata assimilationsensor placementinf-sup stability

Mathematics Subject Classification ID

Stability and convergence of numerical methods for boundary value problems involving PDEs (65N12) Approximation by arbitrary nonlinear expressions; widths and entropy (41A46)

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• Greedy Approximation
• Optimal sensors' allocation strategies for a class of stochastic distributed systems
• Approximation of high-dimensional parametric PDEs
• Data Assimilation in Reduced Modeling
• Observability and optimal measurement location in linear distributed parameter systems†

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