يعرض 1 - 20 نتائج من 905 نتيجة بحث عن '(( algorithm wave function ) OR ( algorithm both function ))*', وقت الاستعلام: 0.26s تنقيح النتائج
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    Gillespie algorithm simulation parameters. حسب Nicholas H. Vitale (20469289)

    منشور في 2024
    "…<div><p>We present a model for the noise and inherent stochasticity of fluorescence signals in both continuous wave (CW) and time-gated (TG) conditions. …"
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    The ALO algorithm optimization flowchart. حسب Wenjing Wang (181404)

    منشور في 2024
    "…The average running time of the proposed algorithm in Sphere function and Griebank function was 2.67s and 1.64s, respectively. …"
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    The IALO algorithm solution flowchart. حسب Wenjing Wang (181404)

    منشور في 2024
    "…The average running time of the proposed algorithm in Sphere function and Griebank function was 2.67s and 1.64s, respectively. …"
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    Simulation specifications for figure. حسب Nicholas H. Vitale (20469289)

    منشور في 2024
    "…<div><p>We present a model for the noise and inherent stochasticity of fluorescence signals in both continuous wave (CW) and time-gated (TG) conditions. …"
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    Expected behavior system of ODEs. حسب Nicholas H. Vitale (20469289)

    منشور في 2024
    "…<div><p>We present a model for the noise and inherent stochasticity of fluorescence signals in both continuous wave (CW) and time-gated (TG) conditions. …"
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    Example fluorophores. حسب Nicholas H. Vitale (20469289)

    منشور في 2024
    "…<div><p>We present a model for the noise and inherent stochasticity of fluorescence signals in both continuous wave (CW) and time-gated (TG) conditions. …"
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    Efficient Algorithms for GPU Accelerated Evaluation of the DFT Exchange-Correlation Functional حسب Ryan Stocks (16867476)

    منشور في 2025
    "…Kohn–Sham density functional theory (KS-DFT) has become a cornerstone for studying the electronic structure of molecules and materials. …"
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    The pseudocode for the NAFPSO algorithm. حسب Huichao Guo (14515171)

    منشور في 2025
    "…The experimental results show that compared with the traditional particle swarm optimization algorithm, NACFPSO performs well in both convergence speed and scheduling time, with an average convergence speed of 81.17 iterations and an average scheduling time of 200.00 minutes; while the average convergence speed of the particle swarm optimization algorithm is 82.17 iterations and an average scheduling time of 207.49 minutes. …"
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    PSO algorithm flowchart. حسب Huichao Guo (14515171)

    منشور في 2025
    "…The experimental results show that compared with the traditional particle swarm optimization algorithm, NACFPSO performs well in both convergence speed and scheduling time, with an average convergence speed of 81.17 iterations and an average scheduling time of 200.00 minutes; while the average convergence speed of the particle swarm optimization algorithm is 82.17 iterations and an average scheduling time of 207.49 minutes. …"
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