Separating Hyperplane Theorems

Separating Hyperplane Theorems is a fundamental theoretical framework in convex analysis that establishes conditions under which two disjoint convex sets in a real vector space can be strictly separated by a hyperplane, thereby enabling the characterization of optimal solutions in convex optimization and economic equilibrium models.

194

Publications

9.5K

Citations

329

Authors

217

Institutions

Publications per year

2017–2026

14

Variants

Separating Hyperplane Theorem

Authors

329

  1. IS
    Ivan Singer

    Romanian Academy, Romania

    5 publications · 79 citations

    5

    h-index

  2. WS
    William Steiger

    Rutgers, The State University of New Jersey, United States

    3 publications · 60 citations

    3

    h-index

  3. PJ
    Paula J. Schwanenflugel

    University of Georgia, United States

    2 publications · 289 citations

    2

    h-index

  4. AK
    Alexander Koldobsky

    University of Missouri, United States

    2 publications · 42 citations

    2

    h-index

  5. EL
    Elon L. Lima

    Columbia University, United States

    2 publications · 72 citations

    2

    h-index

1–5 of 329

Venues

  1. Journal of Optimization Theory and Applications

    12 publications · 712 citations

    12

    h-index

  2. 10

    h-index

  3. Mathematical Programming

    9 publications · 336 citations

    9

    h-index

  4. European Journal of Operational Research

    7 publications · 267 citations

    7

    h-index

  5. Discrete & Computational Geometry

    7 publications · 187 citations

    7

    h-index

1–5