Step Size Selection

Step Size Selection is a methodological component in gradient-based optimization that determines the magnitude of parameter updates per iteration by balancing convergence speed and stability through adaptive or predefined scaling of gradient descent directions.

337

Publications

15.3K

Citations

922

Authors

422

Institutions

Publications per year

2017–2026

82

Authors

922

  1. PP
    PooGyeon Park

    Pohang University of Science and Technology, South Korea

    6 publications · 258 citations

    6

    h-index

  2. SD
    S.C. Douglas

    Southern Methodist University, United States

    4 publications · 155 citations

    4

    h-index

  3. ZY
    Zhuang Yang

    Xiamen University, China

    4 publications · 116 citations

    4

    h-index

  4. LF
    L. F. Shampine

    Southern Methodist University, United States

    4 publications · 111 citations

    4

    h-index

  5. YD
    Yu‐Hong Dai

    Chinese Academy of Sciences, China

    4 publications · 373 citations

    4

    h-index

1–5 of 922

Venues

  1. Journal of Computational and Applied Mathematics

    11 publications · 451 citations

    11

    h-index

  2. arXiv (Cornell University)

    Repository · 9 publications · 294 citations

    9

    h-index

  3. Signal Processing

    8 publications · 268 citations

    8

    h-index

  4. Circuits Systems and Signal Processing

    CSSP · 6 publications · 76 citations

    6

    h-index

  5. IEEE Transactions on Signal Processing

    5 publications · 222 citations

    5

    h-index

1–5