Function graph and algorithm iterative graph. by WanRu Zhao (18980374)

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Convergence curves of different algorithms on the benchmark functions. by Aihua Guo (13267712)

EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit by Gonzalo Colmenarejo (650249)

“…In this paper, a new RDKit/Python implementation of the algorithm is described, that is both accurate and complete. …”

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)

“…<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. …”

Parameters of trained algorithms. by Swathi Anil (17382903)

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Convergence graphs of the ten algorithms for the five functions from the CEC 2014 suite. by Juan Yao (293170)

Performance of algorithms compared to a smaller <i>RNN.</i> by Swathi Anil (17382903)

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Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results by Se-Hee Jo (20554623)

“…A Python-based algorithm was developed for estimating the nonrandom two-liquid (NRTL) model parameters of aqueous binary systems in a straightforward manner from simplified molecular-input line-entry specification (SMILES) strings of substances in a system. …”

Linear regression model for HEI2010 as a function of MBI. by Fabio Mainardi (9909677)

<b>Opti2Phase</b>: Python scripts for two-stage focal reducer by Morgan Najera (21540776)

“…</p><p dir="ltr">The package includes:</p><ul><li>Scripts for first-order analysis, third-order modeling, optimization using a Physically Grounded Merit Function (PGMF), and RMS-based refinement.…”

FAR-1: A Fast Integer Reduction Algorithm Compared to Collatz and Half-Collatz by Faizan Ali (21689861)

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Python-based Monte Carlo Simulation Tool by Yangfan Jiang (9372782)

Change of ITAE objective function for en-CSA, CSA, RUN, PDO and RIME algorithms. by Sarah A. Alzakari (19704611)

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Schematic diagram of the TEAPS algorithm. by Yoshiaki Kariya (13767985)

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

“…<p>We compare the performance of the linear-regression-based Metropolis algorithm to a more expressive version that includes quadratic terms. …”

Power flow and cost optimization with Improved PSO algorithm (a). by Muhammad Ahmad Iqbal (11851338)

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A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data by Anthony S. Barente (14035175)

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Output groupings of the 3 algorithms for a linear degradation chain of <i>N</i> = 3 metabolites. by Yuanchen Zhao (12905580)

ITAE objective function values for all runs of en-CSA, CSA, RUN, PDO and RIME algorithms. by Sarah A. Alzakari (19704611)

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Boxplot analysis for ITAE objective function using en-CSA, CSA, RUN, PDO and RIME algorithms. by Sarah A. Alzakari (19704611)

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