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Showing 1 - 20 results of 13,575 for search '(((( algorithm phase function ) OR ( algorithm 1 function ))) OR ( algorithm b function ))', query time: 1.12s Refine Results
  1. 1
    Approximate energy consumed per particles in <i>nano Joules</i> (<i>nJ</i>) for various computation platforms and algorithms (A: first algorithm, B: second algorithm, C: third algorithm: and D: fourth algorithm).

    Approximate energy consumed per particles in <i>nano Joules</i> (<i>nJ</i>) for various computation platforms and algorithms (A: first algorithm, B: second algorithm, C: third algo... by Abedalmuhdi Almomany (18547669)

    Published 2024
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  2. 2
    Flowchart of the phase optimization algorithm.

    Flowchart of the phase optimization algorithm. by Maxim Terekhov (3429614)

    Published 2021
    “…<p>At stage II, phase vectors {Φ<sup>top</sup>} providing cost function values F<sub>c</sub> above 90% of maximum are selected as initial condition {Φ<sub>0</sub>} for iterative NLS-search and selection of the optimum vectors {Φ<sup>opt</sup>}. …”
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  3. 3
    Limitation of the conventional DBT reconstruction algorithm.

    Limitation of the conventional DBT reconstruction algorithm. by Yunsu Choi (11993484)

    Published 2022
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  4. 4
    <b>Opti2Phase</b>: Python scripts for two-stage focal reducer

    <b>Opti2Phase</b>: Python scripts for two-stage focal reducer by Morgan Najera (21540776)

    Published 2025
    “…Where available, repository links are provided:</p><ol><li><b>NumPy</b>, version 1.22.1</li><li><b>SciPy</b>, version 1.7.3</li><li><b>PyGAD</b>, version 3.0.1 — https://pygad.readthedocs.io/en/latest/#</li><li><b>bees-algorithm</b>, version 1.0.2 — https://pypi.org/project/bees-algorithm</li><li><b>KrakenOS</b>, version 1.0.0.19 — https://github.com/Garchupiter/Kraken-Optical-Simulator</li><li><b>matplotlib</b>, version 3.5.2</li></ol><p dir="ltr">All scripts are modular and organized to reflect the design stages described in the manuscript.…”
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  5. 5
    Fitting results of the different optimization algorithms applied.

    Fitting results of the different optimization algorithms applied. by Sonja Langthaler (6069149)

    Published 2021
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  6. 6
    One iteration of the NSGA-II algorithm.

    One iteration of the NSGA-II algorithm. by Erick Axel Padilla-García (16839233)

    Published 2023
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  7. 7
    Flowchart of the general algorithm for one trial.

    Flowchart of the general algorithm for one trial. by Junying Wang (509009)

    Published 2025
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  8. 8
    Phase diagram for global archetype model as a function of temperature.

    Phase diagram for global archetype model as a function of temperature. by Giulio Ruffini (383994)

    Published 2023
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  9. 9
    Results of the PSO-Kmeans-ANMS algorithm for the Rastrigin function.

    Results of the PSO-Kmeans-ANMS algorithm for the Rastrigin function. by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  10. 10
    Results of the PSO-Kmeans-ANMS algorithm for the Rosenbrock function.

    Results of the PSO-Kmeans-ANMS algorithm for the Rosenbrock function. by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  11. 11
    Comparison between simulations for all algorithms and for all cases (1, 2 and 3).

    Comparison between simulations for all algorithms and for all cases (1, 2 and 3). by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  12. 12
    Fig 1 -

    Fig 1 - by Tuan Anh Pham (1346049)

    Published 2020
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  13. 13
    Risk and density functions for standard relapse from remission condition to disease <i>b</i> condition (similar shapes for standard relapse to disease <i>a</i>).

    Risk and density functions for standard relapse from remission condition to disease <i>b</i> condition (similar shapes for standard relapse to disease <i>a</i>). by Benoîte de Saporta (20454662)

    Published 2024
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  14. 14
    TV-BayesOpt algorithm performance for tracking a gradual drift in the optimal stimulation phase for phase-locked stimulation, <i>ψ</i>*.

    TV-BayesOpt algorithm performance for tracking a gradual drift in the optimal stimulation phase for phase-locked stimulation, <i>ψ</i>*. by John E. Fleming (8533956)

    Published 2023
    “…Panel B illustrates the associated average regret for the TV-BayesOpt algorithm at tracking the true optimum phase value in comparison to when static BayesOpt was implemented alone. …”
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  15. 15
    TV-BayesOpt algorithm performance for tracking a periodic drift in the optimal stimulation phase for phase-locked stimulation, <i>ψ</i>*.

    TV-BayesOpt algorithm performance for tracking a periodic drift in the optimal stimulation phase for phase-locked stimulation, <i>ψ</i>*. by John E. Fleming (8533956)

    Published 2023
    “…Panel B illustrates the associated average regret for the TV-BayesOpt algorithm at tracking the true optimum phase value in comparison to when static BayesOpt was implemented alone. …”
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  16. 16
    Search Algorithms and Loss Functions for Bayesian Clustering

    Search Algorithms and Loss Functions for Bayesian Clustering by David B. Dahl (11761055)

    Published 2022
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  17. 17
    Comparison between simulations for all algorithms (success rate <i>versus</i> number of swarm particles).

    Comparison between simulations for all algorithms (success rate <i>versus</i> number of swarm particles). by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  18. 18
    Rosenbrock function.

    Rosenbrock function. by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  19. 19
    Rosenbrock function.

    Rosenbrock function. by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  20. 20
    Rastrigin function.

    Rastrigin function. by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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