Pde-constrained Optimization

PDE-Constrained Optimization is a mathematical optimization framework in which the constraints include partial differential equations, distinguishing it from other optimization problems by requiring the solution to satisfy both the PDE system and the optimization criteria simultaneously.

227

Publications

9.4K

Citations

388

Authors

183

Institutions

Publications per year

2017–2026

95

Variants

Pde Constrained Optimization

Authors

388

  1. MS
    Martin Stoll

    Max Planck Institute for Dynamics of Complex Technical Systems, Germany

    8 publications · 445 citations

    8

    h-index

  2. TM
    Thomas M. Surowiec

    Humboldt-Universität zu Berlin, Germany

    8 publications · 255 citations

    8

    h-index

  3. DK
    Drew Kouri

    Sandia National Laboratories California, United States

    7 publications · 382 citations

    7

    h-index

  4. OG
    Omar Ghattas

    The University of Texas at Austin, United States

    7 publications · 907 citations

    7

    h-index

  5. AS
    Anton Schiela

    Zuse Institute Berlin, Germany

    7 publications · 181 citations

    7

    h-index

1–5 of 388

Venues

  1. SIAM Journal on Scientific Computing

    28 publications · 2.1K citations

    22

    h-index

  2. SIAM Journal on Optimization

    9 publications · 437 citations

    9

    h-index

  3. Computational Optimization and Applications

    9 publications · 308 citations

    9

    h-index

  4. arXiv (Cornell University)

    Repository · 8 publications · 262 citations

    9

    h-index

  5. Journal of Computational Physics

    7 publications · 318 citations

    7

    h-index

1–5