Additive Smoothing

Additive Smoothing is a mathematical technique in additive combinatorics and additive number theory that belongs to the class of regularization methods and specifically refines the analysis of sumset structures by attenuating pathological configurations through controlled perturbation of sets or functions.

14

Publications

422

Citations

32

Authors

12

Institutions

Publications per year

2017–2026

1

Authors

32

  1. GT
    Gerhard Tutz

    Ludwig-Maximilians-Universität München, Germany

    1 publications · 14 citations

    1

    h-index

  2. SA
    S. Arnold

    SUNY Polytechnic Institute, United States

    1 publications · 38 citations

    1

    h-index

  3. SS
    S. Saberi

    Ruhr University Bochum, Germany

    1 publications · 10 citations

    1

    h-index

  4. AV
    Andreas Vogel

    Universität Hamburg, Germany

    1 publications · 10 citations

    1

    h-index

  5. RA
    Robert Andrawis

    Purdue University West Lafayette, United States

    1 publications · 38 citations

    1

    h-index

1–5 of 32

Venues

  1. The Annals of Statistics

    3 publications · 45 citations

    3

    h-index

  2. Statistics in Medicine

    1 publications · 21 citations

    1

    h-index

  3. Journal of Statistical Software

    JSS · 1 publications · 156 citations

    1

    h-index

  4. 1

    h-index

  5. Journal of Computational Physics

    1 publications · 10 citations

    1

    h-index

1–5