Showing 101 - 120 results of 12,434 for search '(( algorithm i function ) OR ((( algorithm python function ) OR ( algorithm pre function ))))*', query time: 1.09s Refine Results
  1. 101
  2. 102
  3. 103
  4. 104
  5. 105
  6. 106
  7. 107
  8. 108

    CageCavityCalc (<i>C</i>3): A Computational Tool for Calculating and Visualizing Cavities in Molecular Cages by Vicente Martí-Centelles (1422415)

    Published 2024
    “…Efficiently predicting such properties is critical for accelerating the discovery of novel functional cages. Herein, we introduce <i>CageCavityCalc</i> (<i>C</i>3), a Python-based tool for calculating the cavity size of molecular cages. …”
  9. 109

    CageCavityCalc (<i>C</i>3): A Computational Tool for Calculating and Visualizing Cavities in Molecular Cages by Vicente Martí-Centelles (1422415)

    Published 2024
    “…Efficiently predicting such properties is critical for accelerating the discovery of novel functional cages. Herein, we introduce <i>CageCavityCalc</i> (<i>C</i>3), a Python-based tool for calculating the cavity size of molecular cages. …”
  10. 110

    CageCavityCalc (<i>C</i>3): A Computational Tool for Calculating and Visualizing Cavities in Molecular Cages by Vicente Martí-Centelles (1422415)

    Published 2024
    “…Efficiently predicting such properties is critical for accelerating the discovery of novel functional cages. Herein, we introduce <i>CageCavityCalc</i> (<i>C</i>3), a Python-based tool for calculating the cavity size of molecular cages. …”
  11. 111
  12. 112
  13. 113
  14. 114
  15. 115

    Comparison of algorithm performance in ZDT1 and ZDT2 function tests. by Tao Dong (15551)

    Published 2025
    “…<p>Comparison of algorithm performance in ZDT1 and ZDT2 function tests.…”
  16. 116

    <i>K</i>-CDFs: A Nonparametric Clustering Algorithm via Cumulative Distribution Function by Jicai Liu (11419050)

    Published 2022
    “…<p>We propose a novel partitioning clustering procedure based on the cumulative distribution function (CDF), called <i>K</i>-CDFs. For univariate data, the <i>K</i>-CDFs represent the cluster centers by empirical CDFs and assign each observation to the closest center measured by the Cram<math><mrow><mi>e</mi><mo>´</mo></mrow></math>r-von Mises distance. …”
  17. 117
  18. 118

    Convergence curves of the IMGO and comparison algorithms on functions <i>f</i>1−<i>f</i>7. by Ying Li (38224)

    Published 2024
    “…<p>Convergence curves of the IMGO and comparison algorithms on functions <i>f</i>1−<i>f</i>7.</p>…”
  19. 119
  20. 120