Showing 3,501 - 3,520 results of 4,823 for search '(( algorithm within function ) OR ((( algorithm python function ) OR ( algorithm a function ))))', query time: 0.54s Refine Results
  1. 3501

    Table of Stock allocation. by Nasiru Salihu (14803855)

    Published 2025
    “…We rigorously establish the global convergence of the algorithm for general functions, using criteria from a Wolfe-line search. …”
  2. 3502

    CPUT performance profile. by Nasiru Salihu (14803855)

    Published 2025
    “…We rigorously establish the global convergence of the algorithm for general functions, using criteria from a Wolfe-line search. …”
  3. 3503

    NOI performance profile. by Nasiru Salihu (14803855)

    Published 2025
    “…We rigorously establish the global convergence of the algorithm for general functions, using criteria from a Wolfe-line search. …”
  4. 3504

    Table of mean of returns. by Nasiru Salihu (14803855)

    Published 2025
    “…We rigorously establish the global convergence of the algorithm for general functions, using criteria from a Wolfe-line search. …”
  5. 3505

    Table of covariance between stocks (). by Nasiru Salihu (14803855)

    Published 2025
    “…We rigorously establish the global convergence of the algorithm for general functions, using criteria from a Wolfe-line search. …”
  6. 3506

    NOF performance profile. by Nasiru Salihu (14803855)

    Published 2025
    “…We rigorously establish the global convergence of the algorithm for general functions, using criteria from a Wolfe-line search. …”
  7. 3507

    Image 3_A novel method for reliably measuring miniature and spontaneous postsynaptic events in whole-cell patch clamp recordings in the central nervous system.jpg by Martynas Dervinis (422852)

    Published 2025
    “…<p>Measurements of miniature postsynaptic currents (mPSCs) or potentials (mPSPs) in the soma of neurons of the central nervous system (CNS) provide a way of quantifying the synaptic function at the network level and, therefore, are routine in the neurophysiology literature. …”
  8. 3508

    Image 2_A novel method for reliably measuring miniature and spontaneous postsynaptic events in whole-cell patch clamp recordings in the central nervous system.jpg by Martynas Dervinis (422852)

    Published 2025
    “…<p>Measurements of miniature postsynaptic currents (mPSCs) or potentials (mPSPs) in the soma of neurons of the central nervous system (CNS) provide a way of quantifying the synaptic function at the network level and, therefore, are routine in the neurophysiology literature. …”
  9. 3509

    Image 1_A novel method for reliably measuring miniature and spontaneous postsynaptic events in whole-cell patch clamp recordings in the central nervous system.jpg by Martynas Dervinis (422852)

    Published 2025
    “…<p>Measurements of miniature postsynaptic currents (mPSCs) or potentials (mPSPs) in the soma of neurons of the central nervous system (CNS) provide a way of quantifying the synaptic function at the network level and, therefore, are routine in the neurophysiology literature. …”
  10. 3510

    Image 7_Developing a prognostic stratification model based on glutathione metabolism in thyroid cancer and validating RRM2’s tumor−promoting role.tif by Wei Ao (1627393)

    Published 2025
    “…To expand the prognostic application, a risk stratification model based on these enzymes was developed using the LASSO Cox regression algorithm. …”
  11. 3511

    Image 3_Developing a prognostic stratification model based on glutathione metabolism in thyroid cancer and validating RRM2’s tumor−promoting role.tif by Wei Ao (1627393)

    Published 2025
    “…To expand the prognostic application, a risk stratification model based on these enzymes was developed using the LASSO Cox regression algorithm. …”
  12. 3512

    Image 1_Developing a prognostic stratification model based on glutathione metabolism in thyroid cancer and validating RRM2’s tumor−promoting role.tif by Wei Ao (1627393)

    Published 2025
    “…To expand the prognostic application, a risk stratification model based on these enzymes was developed using the LASSO Cox regression algorithm. …”
  13. 3513

    Image 2_Developing a prognostic stratification model based on glutathione metabolism in thyroid cancer and validating RRM2’s tumor−promoting role.tif by Wei Ao (1627393)

    Published 2025
    “…To expand the prognostic application, a risk stratification model based on these enzymes was developed using the LASSO Cox regression algorithm. …”
  14. 3514

    Image 4_Developing a prognostic stratification model based on glutathione metabolism in thyroid cancer and validating RRM2’s tumor−promoting role.tif by Wei Ao (1627393)

    Published 2025
    “…To expand the prognostic application, a risk stratification model based on these enzymes was developed using the LASSO Cox regression algorithm. …”
  15. 3515

    Image 5_Developing a prognostic stratification model based on glutathione metabolism in thyroid cancer and validating RRM2’s tumor−promoting role.jpeg by Wei Ao (1627393)

    Published 2025
    “…To expand the prognostic application, a risk stratification model based on these enzymes was developed using the LASSO Cox regression algorithm. …”
  16. 3516

    Image 6_Developing a prognostic stratification model based on glutathione metabolism in thyroid cancer and validating RRM2’s tumor−promoting role.tif by Wei Ao (1627393)

    Published 2025
    “…To expand the prognostic application, a risk stratification model based on these enzymes was developed using the LASSO Cox regression algorithm. …”
  17. 3517
  18. 3518

    Table 1_Generating normative data from web-based administration of the Cambridge Neuropsychological Test Automated Battery using a Bayesian framework.docx by Elizabeth Wragg (19710640)

    Published 2024
    “…Markov Chain Monte Carlo algorithms generated a large synthetic dataset from posterior distributions for each outcome measure, capturing normative distributions of cognition as a function of age, sex and education.…”
  19. 3519

    Capturing pulse-modulated firing using . by Matthew R. Baker (436704)

    Published 2025
    “…An impulse-response function was fitted to the baselined distribution using a nonlinear least square fitting algorithm using the trust-region-reflective method in the form . …”
  20. 3520