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

Inadequacy of linear methods for minimal sensor placement and feature selection in nonlinear systems: a new approach using secants (Q2163754)

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scientific article; zbMATH DE number 7570751
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English
Inadequacy of linear methods for minimal sensor placement and feature selection in nonlinear systems: a new approach using secants
scientific article; zbMATH DE number 7570751

    Statements

    Inadequacy of linear methods for minimal sensor placement and feature selection in nonlinear systems: a new approach using secants (English)
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    10 August 2022
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    nonlinear inverse problems
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    state estimation
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    feature selection
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    manifold learning
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    greedy algorithms
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    submodular optimization
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    shock-turbulence interaction
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    reduced-order modeling
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