Showing 1 - 20 results of 12,461 for search '(((( algorithm against function ) OR ( algorithm wave function ))) OR ( algorithm 1 function ))', query time: 1.26s Refine Results
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    Figures and supplemental figures for "Optimal sampling of tensor networks targeting wave function’s fast decaying tails" by Marco Ballarin (17780767)

    Published 2024
    “…<p dir="ltr">Figures and supplemental figures for "Optimal sampling of tensor networks targeting wave function’s fast decaying tails". The supplemental figures are the data from the "Dibona" machine regarding the energy consumption of the algorithm. …”
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    Multi-Objective Cooperative Paths Planning for Multiple Parafoils System Using a Genetic Algorithm by Chen Qi (2803873)

    Published 2021
    “…Parafoils’ paths are encoded by real matrix, and the cooperative relationship between parafoils is realized by paths fitness function. The random single point crossover and Gaussian mutation are introduced to accelerate algorithm convergence rate. …”
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    Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. by Yuanchen Zhao (12905580)

    Published 2024
    “…<p>(A), (B) Algorithm performance, evaluated over 50 simulated datasets generated as described in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012590#pcbi.1012590.g001" target="_blank">Fig 1</a> with <i>N</i> = 3 true groups, 900 samples and 10% simulated measurement noise. …”
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    p-values of the Wilconxon rank-sum test at 0.05 significance level for CRLPO against other eight algorithms on 19 benchmark functions from table 1 with 1000 dimensions. by Aijun Zhu (822068)

    Published 2021
    “…<p>p-values of the Wilconxon rank-sum test at 0.05 significance level for CRLPO against other eight algorithms on 19 benchmark functions from table <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0251204#pone.0251204.t001" target="_blank">1</a> with 1000 dimensions.…”
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    p-values of the Wilconxon rank-sum test at 0.05 significance level for CRLPO against other eight algorithms on 19 benchmark functions from Table 1 with 30 dimensions. by Aijun Zhu (822068)

    Published 2021
    “…<p>p-values of the Wilconxon rank-sum test at 0.05 significance level for CRLPO against other eight algorithms on 19 benchmark functions from <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0251204#pone.0251204.t001" target="_blank">Table 1</a> with 30 dimensions.…”
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    p-values of the Wilconxon rank-sum test at 0.05 significance level for CRLPO against other eight algorithms on 19 benchmark functions from Table 1 with 100 dimensions. by Aijun Zhu (822068)

    Published 2021
    “…<p>p-values of the Wilconxon rank-sum test at 0.05 significance level for CRLPO against other eight algorithms on 19 benchmark functions from <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0251204#pone.0251204.t001" target="_blank">Table 1</a> with 100 dimensions.…”
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    Comparative analysis of algorithms. by Xumin Zhao (18261643)

    Published 2024
    “…Notably, the LIRU algorithm registers a 5% increment in one-hop hit ratio relative to the LFU algorithm, a 66% enhancement over the LRU algorithm, and a 14% elevation in system hit ratio against the LRU algorithm. …”
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