Stochastic Source Terms

Stochastic Source Terms is a mathematical construct in dynamical systems modeling that represents random, externally imposed inputs or perturbations characterized by probabilistic distributions, distinguishing it from deterministic source terms by incorporating inherent uncertainty and variability in the system’s evolution.

33

Publications

1.4K

Citations

76

Authors

54

Institutions

Publications per year

2017–2026

7

Authors

76

  1. EP
    E. P. S. Shellard

    University of Cambridge, United Kingdom

    2 publications · 133 citations

    2

    h-index

  2. PN
    Patrick Naulleau

    Lawrence Berkeley National Laboratory, United States

    2 publications · 41 citations

    2

    h-index

  3. GR
    Gerasimos Rigopoulos

    University of Cambridge, United Kingdom

    2 publications · 133 citations

    2

    h-index

  4. BL
    B. L. Hu

    University of Maryland, College Park, United States

    2 publications · 220 citations

    2

    h-index

  5. PT
    Paola Traversa

    Centre National de la Recherche Scientifique, France

    1 publications · 37 citations

    1

    h-index

1–5 of 76

Venues

  1. 4

    h-index

  2. Journal of Cosmology and Astroparticle Physics

    JCAP · 3 publications · 139 citations

    3

    h-index

  3. Applied Mathematics & Optimization

    2 publications · 80 citations

    2

    h-index

  4. 2

    h-index

  5. Journal of Climate

    1 publications · 11 citations

    1

    h-index

1–5