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Showing 1 - 20 results of 13,869 for search '(((( algorithm based function ) OR ( algorithm three function ))) OR ( algorithm python function ))', query time: 0.89s Refine Results
  1. 1
    Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results

    Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results by Se-Hee Jo (20554623)

    Published 2025
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  2. 2
    <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
    “…</li></ul><p dir="ltr">The scripts rely on the following Python packages. 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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  3. 3
    Algorithm results based on experimental likelihood functions.

    Algorithm results based on experimental likelihood functions. by Nicolas Herzig (9230425)

    Published 2020
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  4. 4
    Listed python codes of our algorithm with explanations (Python 3.9 recommended).

    Listed python codes of our algorithm with explanations (Python 3.9 recommended). by Takayuki Niizato (162226)

    Published 2023
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  5. 5
    Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements

    Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements by Pascal Wang (10130612)

    Published 2021
    “…<div>This directory contains Python 3 scripts implementing the Trajectory Adaptive Multilevel Sampling algorithm (TAMS), a variant of Adaptive Multilevel Splitting (AMS), for the study of rare events. …”
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  6. 6
    Adaptive H-REMD simulation algorithm.

    Adaptive H-REMD simulation algorithm. by Danial Pourjafar-Dehkordi (7165523)

    Published 2021
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  7. 7
    Algorithm results based on FE simulated likelihood functions.

    Algorithm results based on FE simulated likelihood functions. by Nicolas Herzig (9230425)

    Published 2020
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  8. 8
    Explained variance ration of the PCA algorithm.

    Explained variance ration of the PCA algorithm. by Abeer Aljohani (18497914)

    Published 2025
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  9. 9
    Python-based Monte Carlo Simulation Tool

    Python-based Monte Carlo Simulation Tool by Yangfan Jiang (9372782)

    Published 2024
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  10. 10
    Comparison of algorithms in two cases.

    Comparison of algorithms in two cases. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  11. 11
    Flow of the NSGA-II algorithm.

    Flow of the NSGA-II algorithm. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  12. 12
    Performance profile of the four algorithms based on the function value of iteration number.

    Performance profile of the four algorithms based on the function value of iteration number. by Sulaiman M. Ibrahim (20614376)

    Published 2025
    “…<p>Performance profile of the four algorithms based on the function value of iteration number.…”
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  13. 13
    A hybrid algorithm based on improved threshold function and wavelet transform.

    A hybrid algorithm based on improved threshold function and wavelet transform. by Bingbing Li (461702)

    Published 2024
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  14. 14
    Comparison of algorithm performance in ZDT3 and ZDT4 function tests.

    Comparison of algorithm performance in ZDT3 and ZDT4 function tests. by Tao Dong (15551)

    Published 2025
    “…<p>Comparison of algorithm performance in ZDT3 and ZDT4 function tests.…”
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  15. 15
    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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  16. 16
    Comparison of performance metrics of three algorithms.

    Comparison of performance metrics of three algorithms. by Junjie He (700642)

    Published 2024
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  17. 17
    Pipeline of the interactor algorithm.

    Pipeline of the interactor algorithm. by Jose Cleydson F. Silva (8685594)

    Published 2025
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  18. 18
    The optimal solution set of NYN by using different algorithms.

    The optimal solution set of NYN by using different algorithms. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  19. 19
    The optimal solution set of HN by using different algorithms.

    The optimal solution set of HN by using different algorithms. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  20. 20
    Objective function values of each algorithm for solving large-scale problems.

    Objective function values of each algorithm for solving large-scale problems. by Lijun Fan (2007628)

    Published 2023
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