Algorithm detection steps. by José M. Rivera-Arbeláez (12418512)

The ALO algorithm optimization flowchart. by Wenjing Wang (181404)

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The IALO algorithm solution flowchart. by Wenjing Wang (181404)

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Feature selection algorithm. by Mahmoud Zeydabadinezhad (12289570)

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Results of searching performance of different algorithm models on the Sphere function and Griewank function. by Rui Zhang (13940)

“…<p>Results of searching performance of different algorithm models on the Sphere function and Griewank function.…”

Results of searching performance of the improved NAG algorithm on Sphere function and Griewank function. by Rui Zhang (13940)

Analogues on the Sphere of the Affine-Equivariant Spatial Median by Janice L. Scealy (8490687)

“…Asymptotic results, including consistency and asymptotic normality, are also derived for the location estimators that result from applying a fixed number of steps in this algorithm. Numerical studies demonstrate that both location estimators may be expected to perform well in practice in terms of efficiency and robustness. …”

Statistical results of various algorithms. by ZeSheng Lin (20501356)

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Fitness function parameters. by Ankita Sharma (3183054)

Images of partial benchmark functions. by ZeSheng Lin (20501356)

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Predictive Mixing for Density Functional Theory (and Other Fixed-Point Problems) by L. D. Marks (1949689)

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Algorithm of the brightness scale calibration experiment. by Krzysztof Petelczyc (3954203)

“…<p>In the algorithm, the following variables were used: “I” denotes the current luminous intensity of the reference diode, “inc” denotes the current difference between reference and target diode luminous intensity; “cnt” is the current number of performed trials, while “correct” is a counter of correct answers in cnt trials, both of them are counted separately for every settings of I and inc. …”

Algorithm operation steps. by Junyan Wang (4738518)

Step by step comparison of enrichment algorithms. by Nicholas Markarian (18251668)

Execution Steps of the EOF Algorithm. by Zezhi Lin (22521663)

Overlays of the gates drawn for the same 12 samples sorted both by hand and with the automation show similar gated populations. by Diane M. Wiener (1956583)

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The main steps of the general algorithm. by Dror Mughaz (18017583)

If datasets are small and/or noisy, linear-regression-based algorithms for identifying functional groups outperform more complex versions. by Yuanchen Zhao (12905580)

“…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. …”

The number of inactive nodes as a function of time steps in (a) a random network and (b) a scale-free network. by Waseem Al-Aqqad (14123917)

Steps in the proposed Apriori algorithm. by Yongkang Ding (21807539)