Global Extrema

Global Extrema is a mathematical concept in curve sketching that denotes the highest or lowest value of a function over its entire domain, distinguishing it from local extrema by its absolute optimality across all points in the domain.

107

Publications

6.4K

Citations

221

Authors

120

Institutions

Publications per year

2017–2026

13

Variants

Absolute ExtremaGlobal Extremum

Authors

221

  1. DN
    Dragan Nešić

    The University of Melbourne, Australia

    6 publications · 664 citations

    6

    h-index

  2. YT
    Ying Tan

    The University of Melbourne, Australia

    4 publications · 344 citations

    4

    h-index

  3. HR
    Herschel Rabitz

    Princeton University, United States

    4 publications · 150 citations

    4

    h-index

  4. MK
    Miroslav Krstić

    University of California San Diego, United States

    3 publications · 374 citations

    3

    h-index

  5. DY
    David Yang Gao

    Virginia Tech, United States

    3 publications · 127 citations

    3

    h-index

1–5 of 221

Venues

  1. Automatica

    5 publications · 655 citations

    5

    h-index

  2. IEEE Transactions on Automatic Control

    3 publications · 1.2K citations

    3

    h-index

  3. 3

    h-index

  4. Journal of Industrial and Management Optimization

    JIMO · 2 publications · 114 citations

    2

    h-index

  5. International Journal of Hydrogen Energy

    2 publications · 83 citations

    2

    h-index

1–5