Objective Function Specification

Objective Function Specification is a methodological construct within model calibration and profit maximization that prescribes the precise mathematical formulation of the target criterion to be optimized, distinguishing itself by defining the specific operational goal—such as profit, loss, or likelihood—subject to maximization or minimization under given constraints.

1.3K

Publications

88K

Citations

3.5K

Authors

1.3K

Institutions

Publications per year

2017–2026

393

Authors

3.5K

  1. MS
    Masatoshi Sakawa

    Hiroshima University, Japan

    5 publications · 345 citations

    5

    h-index

  2. JL
    Jure Leskovec

    Stanford University, United States

    5 publications · 1.5K citations

    5

    h-index

  3. HL
    Himabindu Lakkaraju

    Harvard University Press, United States

    4 publications · 450 citations

    5

    h-index

  4. WW
    Weili Wu

    The University of Texas at Dallas, United States

    4 publications · 211 citations

    4

    h-index

  5. AC
    Alex Cukierman

    Tel Aviv University, Israel

    4 publications · 1.4K citations

    4

    h-index

1–5 of 3.5K

Venues

  1. arXiv (Cornell University)

    Repository · 32 publications · 3.4K citations

    18

    h-index

  2. SSRN Electronic Journal

    Repository · 28 publications · 1.1K citations

    18

    h-index

  3. Management Science

    15 publications · 1.2K citations

    14

    h-index

  4. Operations Research

    15 publications · 1.8K citations

    14

    h-index

  5. IEEE Transactions on Image Processing

    13 publications · 1.3K citations

    14

    h-index

1–5