Pde-constrained Shape Optimization

PDE-Constrained Shape Optimization is a mathematical framework within shape optimization that seeks optimal domain configurations by minimizing a given objective functional subject to partial differential equations (PDEs) governing the physical behavior of the system, thereby distinguishing itself through the incorporation of PDEs as implicit constraints on the shape design.

42

Publications

2.2K

Citations

78

Authors

50

Institutions

Publications per year

2017–2026

14

Authors

78

  1. VS
    Volker Schulz

    Universität Trier, Germany

    4 publications · 391 citations

    4

    h-index

  2. YZ
    Yongjie Zhang

    Carnegie Mellon University, United States

    3 publications · 56 citations

    3

    h-index

  3. AL
    Angran Li

    Carnegie Mellon University, United States

    3 publications · 56 citations

    3

    h-index

  4. MS
    Martin Siebenborn

    Universität Trier, Germany

    2 publications · 169 citations

    2

    h-index

  5. SZ
    Shengfeng Zhu

    East China Normal University, China

    2 publications · 27 citations

    2

    h-index

1–5 of 78

Venues

  1. 4

    h-index

  2. Structural and Multidisciplinary Optimization

    2 publications · 345 citations

    2

    h-index

  3. AIAA Journal

    2 publications · 428 citations

    2

    h-index

  4. SIAM Journal on Optimization

    2 publications · 107 citations

    2

    h-index

  5. Computational Methods in Applied Mathematics

    2 publications · 98 citations

    2

    h-index

1–5