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Showing 1 - 20 results of 4,776 for search '(( algorithm i function ) OR ( algorithm using function ))', query time: 0.60s Refine Results
  1. 1
    The parameters of algorithms.

    The parameters of algorithms. by Le Huu Binh (18340233)

    Published 2025
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  2. 2
    Convergence of the numerical solution of the non-linear equation system through the iterations <i>p</i> using the Newton-Raphson algorithm and the Levenberg–Marquardt algorithm.

    Convergence of the numerical solution of the non-linear equation system through the iterations <i>p</i> using the Newton-Raphson algorithm and the Levenberg–Marquardt algorithm. by Martin Dodek (20623832)

    Published 2025
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  3. 3
    Non-converging numerical solution of the non-linear equation system through the iterations <i>p</i> using the Newton-Raphson algorithm and the Levenberg–Marquardt algorithm.

    Non-converging numerical solution of the non-linear equation system through the iterations <i>p</i> using the Newton-Raphson algorithm and the Levenberg–Marquardt algorithm. by Martin Dodek (20623832)

    Published 2025
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  4. 4
    Algorithm pseudocode.

    Algorithm pseudocode. by Cheng-jie Chen (22272090)

    Published 2025
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  5. 5
    WST results for LLSKSO and other algorithms on benchmark test functions. (<i>α</i> = 0.05).

    WST results for LLSKSO and other algorithms on benchmark test functions. (<i>α</i> = 0.05). by Ruyi Dong (9038174)

    Published 2025
    Subjects: “…dimensional benchmark functions…”
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  6. 6
    WST results for LLSKSO and other algorithms on benchmark test functions. (<i>α</i> = 0.05).

    WST results for LLSKSO and other algorithms on benchmark test functions. (<i>α</i> = 0.05). by Ruyi Dong (9038174)

    Published 2025
    Subjects: “…dimensional benchmark functions…”
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  7. 7
    Predictions from a Universal Value Function Approximator (UVFA) algorithm.

    Predictions from a Universal Value Function Approximator (UVFA) algorithm. by Sam Hall-McMaster (10343795)

    Published 2025
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  8. 8
    Algorithm testing.

    Algorithm testing. by Ziad M. Ali (12516532)

    Published 2024
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  9. 9
    Matlab code of a function used in S2 File.

    Matlab code of a function used in S2 File. by Hiroko Kato Solvang (5718250)

    Published 2024
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  10. 10
    Pseudocode of the BBAC_I Algorithm.

    Pseudocode of the BBAC_I Algorithm. by Zezhi Lin (22521663)

    Published 2025
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  11. 11
    Algorithm framework.

    Algorithm framework. by Zongjin Li (38031)

    Published 2025
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  12. 12
    Results on solving TSS using different evolutionary and greedy algorithms.

    Results on solving TSS using different evolutionary and greedy algorithms. by Alexander Andreev (16822333)

    Published 2025
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  13. 13
    Function <i>χ</i><sub><i>opt</i></sub> superimposed with the phase-field function indicating the channel geometry.

    Function <i>χ</i><sub><i>opt</i></sub> superimposed with the phase-field function indicating the channel geometry. by Martina Bukač (20161460)

    Published 2024
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  14. 14
    Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information.

    Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. by Yuanchen Zhao (12905580)

    Published 2024
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  15. 15
    23 benchmark functions.

    23 benchmark functions. by Yu Liu (6938)

    Published 2025
    “…To enhance the algorithm’s global optimization capabilities and stability, an enhanced CTCM (CTCMKT) is proposed, which integrates a joint strategy of Kent chaotic mapping and <i>t</i>- distribution mutation. …”
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  16. 16
    Compare NC versus the number of routers using WOA algorithm with different methods.

    Compare NC versus the number of routers using WOA algorithm with different methods. by Le Huu Binh (18340233)

    Published 2025
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  17. 17
    Compare NC versus the number of routers using MVO algorithm with different methods.

    Compare NC versus the number of routers using MVO algorithm with different methods. by Le Huu Binh (18340233)

    Published 2025
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  18. 18
    Compare NC versus the number of clients using WOA algorithm with different methods.

    Compare NC versus the number of clients using WOA algorithm with different methods. by Le Huu Binh (18340233)

    Published 2025
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  19. 19
    Compare NC versus the number of clients using MVO algorithm with different methods.

    Compare NC versus the number of clients using MVO algorithm with different methods. by Le Huu Binh (18340233)

    Published 2025
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  20. 20
    Parameters of trained algorithms.

    Parameters of trained algorithms. by Swathi Anil (17382903)

    Published 2025
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