يعرض 81 - 100 نتائج من 2,934 نتيجة بحث عن '(( ((algorithm python) OR (algorithm both)) function ) OR ( algorithm npc function ))*', وقت الاستعلام: 0.50s تنقيح النتائج
  1. 81

    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. …"
  2. 82
  3. 83
  4. 84

    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. …"
  5. 85

    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. …"
  6. 86

    Parselmouth for bioacoustics: automated acoustic analysis in Python حسب Yannick Jadoul (11498813)

    منشور في 2023
    "…Five years ago, the Python package Parselmouth was released to provide easy and intuitive access to all functionality in the Praat software. …"
  7. 87

    Prediction performance of different optimization algorithms. حسب Ali-Kemal Aydin (10968731)

    منشور في 2021
    "…<p>(A) 3 algorithms were compared in terms of the residuals of the cost function of the optimized TF on 7 mice datasets (Derivative free algorithm failed in optimizing a TF in a mouse). …"
  8. 88
  9. 89

    Comparison of different algorithms. حسب Dawei Wang (471687)

    منشور في 2025
    "…A sophisticated optimization model has been developed to simulate the optimal operation of machinery, aiming to maximize equipment utilization efficiency while addressing the challenges posed by worker fatigue. An innovative algorithm, the improved hybrid gray wolf and whale algorithm fused with a penalty function for construction machinery optimization (IHWGWO), is introduced, incorporating a penalty function to handle constraints effectively. …"
  10. 90
  11. 91

    Study proposed algorithm. حسب Ainhoa Pérez-Guerrero (21377457)

    منشور في 2025
    "…The index of microvascular resistance (IMR) is a specific physiological parameter used to assess microvascular function. Invasive coronary assessment has been shown to be both feasible and safe. …"
  12. 92
  13. 93

    ADT: A Generalized Algorithm and Program for Beyond Born–Oppenheimer Equations of “<i>N</i>” Dimensional Sub-Hilbert Space حسب Koushik Naskar (7510592)

    منشور في 2020
    "…In order to overcome such shortcoming, we develop a generalized algorithm, “ADT” to generate the nonadiabatic equations through symbolic manipulation and to construct highly accurate diabatic surfaces for molecular processes involving excited electronic states. …"
  14. 94
  15. 95
  16. 96
  17. 97
  18. 98

    Algorithm of the brightness scale calibration experiment. حسب Krzysztof Petelczyc (3954203)

    منشور في 2024
    "…<p>In the algorithm, the following variables were used: “I” denotes the current luminous intensity of the reference diode, “inc” denotes the current difference between reference and target diode luminous intensity; “cnt” is the current number of performed trials, while “correct” is a counter of correct answers in cnt trials, both of them are counted separately for every settings of I and inc. …"
  19. 99

    Gillespie algorithm simulation parameters. حسب Nicholas H. Vitale (20469289)

    منشور في 2024
    "…Both the ensemble and stochastic models presented in this work have been verified using Monte Carlo molecular dynamic simulations that utilize the Gillespie algorithm. …"
  20. 100

    Scheduling time of five algorithms. 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. …"