Deterministic Cost Functions

Deterministic Cost Functions is a cost function model in which the output cost is uniquely determined by the input variables without any inherent randomness or probabilistic variation, thereby ensuring consistent and predictable cost evaluations under identical conditions.

24

Publications

1.2K

Citations

67

Authors

38

Institutions

Publications per year

2017–2026

10

Authors

67

  1. AN
    Andrew Ning

    Brigham Young University, United States

    2 publications · 123 citations

    2

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  2. RD
    Rick Damiani

    National Laboratory of the Rockies, United States

    2 publications · 123 citations

    2

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  3. PM
    Patrick Moriarty

    National Laboratory of the Rockies, United States

    2 publications · 123 citations

    2

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  4. HH
    Huosheng Hu

    University of Essex, United Kingdom

    1 publications · 47 citations

    1

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  5. OR
    Olivier Roustant

    Mines Saint-Étienne, France

    1 publications · 561 citations

    1

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1–5 of 67

Venues

  1. 1

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  2. Perception & Psychophysics

    1 publications · 13 citations

    1

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  3. Journal of Solar Energy Engineering

    1 publications · 100 citations

    1

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  4. IEEE Transactions on Robotics and Automation

    1 publications · 47 citations

    1

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  5. Theory of Computing Systems

    1 publications · 12 citations

    1

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1–5