Singular Perturbations In Optimization

Singular Perturbations in Optimization is a theoretical framework within applied mathematics that characterizes optimization problems involving a small parameter inducing non-uniform convergence, thereby necessitating asymptotic analysis to resolve disparate scales in the decision variables or constraints.

82

Publications

3.9K

Citations

138

Authors

93

Institutions

Publications per year

2017–2026

8

Authors

138

  1. PS
    Peddapullaiah Sannuti

    Rutgers, The State University of New Jersey, United States

    5 publications · 395 citations

    5

    h-index

  2. PK
    P.V. Kokotović

    University of California, Santa Barbara, United States

    4 publications · 322 citations

    4

    h-index

  3. VG
    Vladimir Gaitsgory

    University of South Australia, Australia

    4 publications · 214 citations

    4

    h-index

  4. JY
    Jen‐Chih Yao

    National Sun Yat-sen University, Taiwan

    3 publications · 92 citations

    3

    h-index

  5. TD
    Thái Doãn Chương

    Saigon University, Vietnam

    2 publications · 68 citations

    2

    h-index

1–5 of 138

Venues

  1. Automatica

    8 publications · 379 citations

    8

    h-index

  2. IEEE Transactions on Automatic Control

    9 publications · 629 citations

    8

    h-index

  3. SIAM Journal on Control and Optimization

    5 publications · 270 citations

    5

    h-index

  4. Linear Algebra and its Applications

    4 publications · 130 citations

    4

    h-index

  5. 4

    h-index

1–5