Adjoint Source Terms

Adjoint Source Terms is a mathematical construct in computational science and optimization that represents the contribution of residual errors to the gradient of an objective function through adjoint-based sensitivity analysis.

68

Publications

3.5K

Citations

141

Authors

82

Institutions

Publications per year

2017–2026

12

Authors

141

  1. XZ
    Xiaolei Zou

    Florida State University, United States

    2 publications · 156 citations

    2

    h-index

  2. IJ
    I.H. Jorysz

    University of Liverpool, United Kingdom

    2 publications · 153 citations

    2

    h-index

  3. QX
    Qin Xu

    ETH Zurich, Switzerland

    2 publications · 120 citations

    2

    h-index

  4. SN
    Sivakumaran Nadarajah

    McGill University, Canada

    2 publications · 54 citations

    2

    h-index

  5. DJ
    Dimitri J. Mavriplis

    University of Wyoming, United States

    2 publications · 45 citations

    2

    h-index

1–5 of 141

Venues

  1. Journal of Computational Physics

    6 publications · 480 citations

    6

    h-index

  2. Structural and Multidisciplinary Optimization

    4 publications · 351 citations

    4

    h-index

  3. Annals of Nuclear Energy

    4 publications · 53 citations

    4

    h-index

  4. Computers & Fluids

    3 publications · 76 citations

    3

    h-index

  5. Physics Letters B

    3 publications · 165 citations

    3

    h-index

1–5