Local Reduced-order Modeling

Local Reduced-Order Modeling is a reduced-order modeling approach that constructs localized surrogate models within partitioned regions of the parameter or state space, distinguished by its adaptation to local nonlinearities and solution features rather than relying on a single global low-dimensional basis.

60

Publications

3.3K

Citations

171

Authors

93

Institutions

Publications per year

2017–2026

29

Authors

171

  1. HK
    Heiko K. F. Panzer

    Technical University of Munich, Germany

    2 publications · 263 citations

    2

    h-index

  2. WT
    Wing Tat Leung

    Texas A&M University, United States

    2 publications · 129 citations

    2

    h-index

  3. CE
    Claire E. Heaney

    Imperial College London, United Kingdom

    2 publications · 30 citations

    2

    h-index

  4. BL
    Boris Lohmann

    Technical University of Munich, Germany

    2 publications · 263 citations

    2

    h-index

  5. EC
    Elías Cueto

    Universidad de Zaragoza, Spain

    2 publications · 35 citations

    2

    h-index

1–5 of 171

Venues

  1. 7

    h-index

  2. Journal of Computational Physics

    5 publications · 331 citations

    5

    h-index

  3. SIAM Journal on Scientific Computing

    3 publications · 317 citations

    3

    h-index

  4. 3

    h-index

  5. Automatica

    2 publications · 39 citations

    2

    h-index

1–5