بدائل البحث:
algorithms within » algorithm within (توسيع البحث)
algorithm harding » algorithm using (توسيع البحث), algorithm machine (توسيع البحث), algorithm showing (توسيع البحث)
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harding function » hardening function (توسيع البحث), hearing functions (توسيع البحث), varying functions (توسيع البحث)
algorithms within » algorithm within (توسيع البحث)
algorithm harding » algorithm using (توسيع البحث), algorithm machine (توسيع البحث), algorithm showing (توسيع البحث)
algorithm python » algorithm within (توسيع البحث), algorithm both (توسيع البحث)
harding function » hardening function (توسيع البحث), hearing functions (توسيع البحث), varying functions (توسيع البحث)
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<b>Opti2Phase</b>: Python scripts for two-stage focal reducer
منشور في 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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An expectation-maximization algorithm for finding noninvadable stationary states.
منشور في 2020"…<i>(c)</i> Pseudocode for self-consistently computing <b>R</b>* and , which is identical to standard expectation-maximization algorithms employed for problems with latent variables in machine learning.…"
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Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results
منشور في 2025"…This algorithm conducts a series of procedures: (1) fragmentation of the molecules into functional groups from SMILES, (2) calculation of activity coefficients under predetermined temperature and mole fraction conditions by employing universal quasi-chemical functional group activity coefficient (UNIFAC) model, and (3) regression of NRTL model parameters by employing UNIFAC model simulation results in the differential evolution algorithm (DEA) and Nelder–Mead method (NMM). …"
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Within binding sites of the same size, the ones with the highest average overlap (lowest average distance d<sub>ij</sub>) with the others are disproportionately represented in the...
منشور في 2024الموضوعات: "…unlike approximation algorithms…"
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A hybrid algorithm based on improved threshold function and wavelet transform.
منشور في 2024الموضوعات: -
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