Optimization-based Inversion

Optimization-Based Inversion is a computational framework within inverse problem methodologies that formulates the reconstruction of unknown parameters or boundary conditions as a minimization problem by leveraging a cost functional to quantify the discrepancy between observed and predicted system responses.

541

Publications

32.2K

Citations

1.4K

Authors

596

Institutions

Publications per year

2017–2026

174

Authors

1.4K

  1. YY
    Yunan Yang

    University of Wisconsin–Madison, United States

    9 publications · 678 citations

    9

    h-index

  2. TA
    Tariq Alkhalifah

    King Abdullah University of Science and Technology, Saudi Arabia

    9 publications · 314 citations

    9

    h-index

  3. BE
    Björn Engquist

    The University of Texas at Austin, United States

    9 publications · 678 citations

    9

    h-index

  4. FJ
    Felix J. Herrmann

    University of British Columbia, Canada

    8 publications · 370 citations

    8

    h-index

  5. JL
    Juan Luis Fernández‐Martínez

    Universidad de Oviedo, Spain

    7 publications · 532 citations

    7

    h-index

1–5 of 1.4K

Venues

  1. Geophysics

    55 publications · 4.8K citations

    35

    h-index

  2. Geophysical Journal International

    GJI · 24 publications · 3K citations

    20

    h-index

  3. Inverse Problems

    19 publications · 975 citations

    15

    h-index

  4. 14

    h-index

  5. Geophysical Prospecting

    11 publications · 392 citations

    11

    h-index

1–5