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algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
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<b>Opti2Phase</b>: Python scripts for two-stage focal reducer
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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The optimal solution set of NYN by using different algorithms.
Published 2022Subjects: “…evolutionary genetic algorithm…”
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The optimal solution set of HN by using different algorithms.
Published 2022Subjects: “…evolutionary genetic algorithm…”
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Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements
Published 2021“…</div><div><br></div><div>The `TAMS` folder contains the necessary files to run the TAMS algorithm. The `main.py` file is the file to be executed using a command of the type `python main.py`. …”
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EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit
Published 2025“…Functional groups are widely used in organic chemistry, because they provide a rationale to analyze physicochemical and reactivity properties. …”
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Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results
Published 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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An expectation-maximization algorithm for finding noninvadable stationary states.
Published 2020“…<p><i>(a)</i> Noninvadable states by definition can only exist in the region Ω of resource space where the growth rate <i>dN</i><sub><i>i</i></sub>/<i>dt</i> of each species <i>i</i> is zero or negative. …”
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Investigate the variation of the cost function in situations where many obstacles and other robots are detected.
Published 2025Subjects: “…organizing migrating algorithm…”
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