Showing 1 - 20 results of 5,195 for search '(((( algorithm sphere function ) OR ( algorithm where function ))) OR ( algorithm b function ))', query time: 0.58s Refine Results
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    Brief sketch of the quasi-attraction/alignment algorithm. by Takayuki Niizato (162226)

    Published 2023
    “…(D) A brief sketch of the avoidance algorithm. Upper: Each direction is extended to the repulsion area = {<b><i>r</i></b>||<b><i>r</i></b>| = <i>R</i>}, where is the minimal sphere cap that covers all points on . …”
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    Results of searching performance of different algorithm models on the Sphere function and Griewank function. by Rui Zhang (13940)

    Published 2021
    “…<p>Results of searching performance of different algorithm models on the Sphere function and Griewank function.…”
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    <b>Opti2Phase</b>: Python scripts for two-stage focal reducer by Morgan Najera (21540776)

    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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    Using synthetic data to test group-searching algorithms in a context where the correct grouping of species is known and uniquely defined. by Yuanchen Zhao (12905580)

    Published 2024
    “…The reaction network is assumed to form a linear degradation chain 1 → 2 → ⋯ → <i>N</i> with the end-product concentration (metabolite <i>N</i>, orange) taken as the function of interest (shown with <i>N</i> = 3 as an example). …”
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    STD and STD/mean as a function of <i>N</i><sub><i>p</i></sub> for distribution of points with added noise. by Luca Maria Del Bono (20479625)

    Published 2024
    “…<p>STD (a) and STD/mean (b) as a function of <i>N</i><sub><i>p</i></sub> for distribution of points with added noise, before and after GD. …”
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    Experiment 2D and 5D: Progressive Sample Scaling Algorithm To Solve Many-Affine BBOB Functions. by Boris Almonacid (4110337)

    Published 2024
    “…For this specific experiment<a href="https://markdownlivepreview.com/#cite_note-2" target="_blank"><sup>[2]</sup></a><a href="https://markdownlivepreview.com/#cite_note-3" target="_blank"><sup>[3]</sup></a>, the average AOCC is calculated.</p><p dir="ltr"><b>Objectives</b></p><ul><li>Solve Many-Affine BBOB Functions using a Deterministic Algorithm.…”
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    If datasets are small and/or noisy, linear-regression-based algorithms for identifying functional groups outperform more complex versions. by Yuanchen Zhao (12905580)

    Published 2024
    “…Both versions are evaluated on the same synthetic datasets with a 3-group ground truth. Each algorithm return a set of coarsened <i>variables</i> (a grouping of species into three groups) and a <i>model</i> that uses these variables to predict the function. …”
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    Analogues on the Sphere of the Affine-Equivariant Spatial Median by Janice L. Scealy (8490687)

    Published 2020
    “…<p><b>Robust estimation of location for data on the unit sphere</b><math><mrow><mrow><mi>S</mi></mrow><mrow><mi>p</mi><mo>−</mo><mn>1</mn></mrow></mrow></math><b>is an important problem in directional statistics even though the influence functions of the sample mean direction and other location estimators are bounded. …”
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