Conic Optimization

Conic Optimization is a subfield of convex optimization that involves minimizing a linear objective function over the intersection of an affine subspace and a closed convex cone, thereby generalizing linear, second-order, and semidefinite programming within a unified framework.

410

Publications

30.2K

Citations

731

Authors

362

Institutions

Publications per year

2017–2026

116

Authors

731

  1. JL
    Javad Lavaei

    University of California, Berkeley, United States

    12 publications · 595 citations

    11

    h-index

  2. KT
    Kim-Chuan Toh

    National University of Singapore, Singapore

    12 publications · 701 citations

    10

    h-index

  3. AB
    Aharon Ben‐Tal

    Technion – Israel Institute of Technology, Israel

    9 publications · 862 citations

    9

    h-index

  4. RM
    Robert M. Freund

    Massachusetts Institute of Technology, United States

    9 publications · 426 citations

    9

    h-index

  5. AA
    Alper Atamtürk

    University of California, Berkeley, United States

    8 publications · 438 citations

    8

    h-index

1–5 of 731

Venues

  1. SIAM Journal on Optimization

    39 publications · 2.9K citations

    27

    h-index

  2. Mathematical Programming

    26 publications · 2.3K citations

    20

    h-index

  3. IEEE Transactions on Power Systems

    19 publications · 3.3K citations

    17

    h-index

  4. arXiv (Cornell University)

    Repository · 16 publications · 368 citations

    13

    h-index

  5. Journal of Optimization Theory and Applications

    13 publications · 1.1K citations

    12

    h-index

1–5