Model reduction of parametrized Systems

ISSN: 1019-7168 (Print) 1572-9044 (Online)

In this topical collection (21 articles)

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  1. OriginalPaper

    Balanced truncation of linear time-invariant systems over finite-frequency ranges

    Peter Benner, Xin Du, Guanghong Yang, Dan Ye Article:82
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  2. OriginalPaper

    Least-Squares Padé approximation of parametric and stochastic Helmholtz maps

    Francesca Bonizzoni, Fabio Nobile, Ilaria Perugia… Article:46
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  3. OriginalPaper

    Hankel-norm approximation of large-scale descriptor systems

    Peter Benner, Steffen W. R. Werner Article:40
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  4. OriginalPaper

    Rigorous and effective a-posteriori error bounds for nonlinear problems—application to RB methods

    Andreas Schmidt, Dominik Wittwar, Bernard Haasdonk Article:32
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    OriginalPaper

    Performance guarantees for a variational “multi-space” decoder

    C. Herzet, M. Diallo Article:10

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    OriginalPaper

    Feedback control of parametrized PDEs via model order reduction and dynamic programming principle

    Alessandro Alla, Bernard Haasdonk, Andreas Schmidt Article:9

  7. OriginalPaper

    Preserving the DAE structure in the Loewner model reduction and identification framework

    Ion Victor Gosea, Qiang Zhang… Article:3
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    OriginalPaper

    A hierarchical a posteriori error estimator for the Reduced Basis Method

    Stefan Hain, Mario Ohlberger, Mladjan Radic… Pages 2191-2214

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    OriginalPaper

    Mass conservative reduced order modeling of a free boundary osmotic cell swelling problem

    Christoph Lehrenfeld, Stephan Rave Pages 2215-2239

  10. OriginalPaper

    A bilinear \(\mathcal {H}_{2}\) model order reduction approach to linear parameter-varying systems

    Peter Benner, Xingang Cao, Wil Schilders Pages 2241-2271
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    OriginalPaper

    Kolmogorov n-widths for linear dynamical systems

    Benjamin Unger, Serkan Gugercin Pages 2273-2286

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    OriginalPaper

    Discontinuous Galerkin reduced basis empirical quadrature procedure for model reduction of parametrized nonlinear conservation laws

    Masayuki Yano Pages 2287-2320

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    OriginalPaper

    A transport-based multifidelity preconditioner for Markov chain Monte Carlo

    Benjamin Peherstorfer, Youssef Marzouk Pages 2321-2348

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    OriginalPaper

    A reduced order variational multiscale approach for turbulent flows

    Giovanni Stabile, Francesco Ballarin… Pages 2349-2368

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    OriginalPaper

    3D-VAR for parameterized partial differential equations: a certified reduced basis approach

    Nicole Aretz-Nellesen, Martin A. Grepl… Pages 2369-2400

  16. No Access

    OriginalPaper

    POD model order reduction with space-adapted snapshots for incompressible flows

    Carmen Gräßle, Michael Hinze, Jens Lang… Pages 2401-2428

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    OriginalPaper

    An offline/online procedure for dual norm calculations of parameterized functionals: empirical quadrature and empirical test spaces

    Tommaso Taddei Pages 2429-2462

  18. No Access

    OriginalPaper

    Hyper-reduced order models for parametrized unsteady Navier-Stokes equations on domains with variable shape

    Niccolò Dal Santo, Andrea Manzoni Pages 2463-2501

  19. No Access

    OriginalPaper

    Variational Monte Carlo—bridging concepts of machine learning and high-dimensional partial differential equations

    Martin Eigel, Reinhold Schneider… Pages 2503-2532

  20. OriginalPaper

    Cross-Gramian-based dominant subspaces

    Peter Benner, Christian Himpe Pages 2533-2553
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