Listed python codes of our algorithm with explanations (Python 3.9 recommended). by Takayuki Niizato (162226)

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

“…</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.…”

Flowchart of proposed fitness function algorithm. by Ferhat Yuna (21519851)

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Demand side management system. by Manoj Kumar V. (18196645)

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

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

“…This algorithm conducts a series of procedures: (1) fragmentation of the molecules into functional groups from SMILES, (2) calculation of activity coefficients under predetermined temperature and mole fraction conditions by employing universal quasi-chemical functional group activity coefficient (UNIFAC) model, and (3) regression of NRTL model parameters by employing UNIFAC model simulation results in the differential evolution algorithm (DEA) and Nelder–Mead method (NMM). …”

Distribution of objective function values solved by three algorithms. by Meilin Zhu (688698)

Similarity between the hierarchical community structure of structural and functional brain graphs. by Arian Ashourvan (6685232)

Comparison between algorithm and expert cell counting. by Adam L. Tyson (10892822)

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Comparison of algorithms in two cases. by Yi Tao (178829)

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Flow of the NSGA-II algorithm. by Yi Tao (178829)

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Network normalized unmet demand cost during the recovery process. by Alireza Rangrazjeddi (13360943)

Multi-scale detection of hierarchical community architecture in structural and functional brain networks by Arian Ashourvan (6685232)

“…<div><p>Community detection algorithms have been widely used to study the organization of complex networks like the brain. …”

Local topological scales of hierarchical community organization in structural and functional brain graphs. by Arian Ashourvan (6685232)

Comparison of optimal results under various load demands. by Wenjing Wang (181404)

An expectation-maximization algorithm for finding noninvadable stationary states. by Robert Marsland (8616483)

Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements by Pascal Wang (10130612)

“…<div>This directory contains Python 3 scripts implementing the Trajectory Adaptive Multilevel Sampling algorithm (TAMS), a variant of Adaptive Multilevel Splitting (AMS), for the study of rare events. …”

Distribution of demand points by level. by Junjie He (700642)

“…To validate the effectiveness of the proposed model and algorithm, numerical experiments were performed, which took an urban area in China as an example. …”

Algorithm for solving Eq (7). by Yanfang Xue (547585)

Algorithm for solving Eq (12). by Yanfang Xue (547585)