Showing 61 - 80 results of 5,342 for search '(( algorithm python function ) OR ((( algorithm its function ) OR ( algorithm cost function ))))', query time: 1.65s Refine Results
  1. 61
  2. 62

    Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic by NELSON L. DIAS (8078003)

    Published 2019
    “…With these practical rules, simple summation algorithms provide sufficiently robust results for the calculation of the density function and its definite integrals. …”
  3. 63
  4. 64
  5. 65
  6. 66
  7. 67

    Open Binding Pose Metadynamics: An Effective Approach for the Ranking of Protein–Ligand Binding Poses by Dominykas Lukauskis (14143149)

    Published 2022
    “…OpenBPMD is powered by the OpenMM simulation engine and uses a revised scoring function. The algorithm was validated by testing it on a wide range of targets and showing that it matches or exceeds the performance of the original BPMD. …”
  8. 68

    Open Binding Pose Metadynamics: An Effective Approach for the Ranking of Protein–Ligand Binding Poses by Dominykas Lukauskis (14143149)

    Published 2022
    “…OpenBPMD is powered by the OpenMM simulation engine and uses a revised scoring function. The algorithm was validated by testing it on a wide range of targets and showing that it matches or exceeds the performance of the original BPMD. …”
  9. 69

    Open Binding Pose Metadynamics: An Effective Approach for the Ranking of Protein–Ligand Binding Poses by Dominykas Lukauskis (14143149)

    Published 2022
    “…OpenBPMD is powered by the OpenMM simulation engine and uses a revised scoring function. The algorithm was validated by testing it on a wide range of targets and showing that it matches or exceeds the performance of the original BPMD. …”
  10. 70
  11. 71
  12. 72
  13. 73
  14. 74
  15. 75
  16. 76
  17. 77
  18. 78

    Novel Self-Adaptive Shale Gas Production Proxy Model and Its Practical Application by Lu Qiao (2861384)

    Published 2022
    “…An adaptive difference evolution algorithm (SaDE) optimized least-squares support vector machine (LSSVM) is used as an approximation function, while training is performed using a self-adaptive response surface experimental design (SaRSE). …”
  19. 79
  20. 80