(a-c) Sampling event times with an intensity function . by Gerrit Großmann (9585147)

Parameters of trained algorithms. by Swathi Anil (17382903)

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<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)

Mean training time of different algorithms. by Wei Liu (20030)

“…We proposed an improved grey wolf optimizer (SGWO) to explore a better network structure. GWO was improved by using circle population initialization, information interaction mechanism and adaptive position update to enhance the search performance of the algorithm. …”

Running time comparison of different algorithms. by Shuang Guo (294074)

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Convergence speed of five algorithms. by Huichao Guo (14515171)

“…<div><p>This paper aims to solve the scheduling optimization problem in the emergency management of long-distance natural gas pipelines, with the goal of minimizing the total scheduling time. To this end, the objective function of the minimum total scheduling time is established, and the relevant constraints are set. …”

Average running time of different algorithms. by Wei Liu (20030)

Computation time as a function of the sample size on the chain graph dataset. by Tomokaze Shiratori (9635271)

Computation time as a function of the sample size on the random graph dataset. by Tomokaze Shiratori (9635271)

Computation time as a function of the number of variables on the chain graph dataset. by Tomokaze Shiratori (9635271)

Computation time as a function of the number of variables on the random graph dataset. by Tomokaze Shiratori (9635271)

CPU runtime of each algorithm: (a) Running Time Comparison of Different Algorithms on F1-F10 and (b) Running Time Comparison of Different Algorithms on F11-F20. by Ruyi Dong (9038174)

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

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

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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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Predicted body weights (kg) as a function of time (age in weeks) obtained from MARS algorithm and Gompertz model. by Turgay Şengül (12801990)

“…<p>Predicted body weights (kg) as a function of time (age in weeks) obtained from MARS algorithm and Gompertz model.…”

Time complexity of each ERA function. by Noel Farrugia (15322540)

The SSIM for the different algorithms. by Bingbing Li (461702)

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