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

<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.…”

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

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

Subjects:

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

“…<i>(b)</i> Metabolic byproducts move the relevant unperturbed state from <b>R</b>⁰ (gray ‘x’) to (black ‘x’), which is itself a function of the current environmental conditions. …”

<b>Algorithm Pseudocode</b> by Yibin Zhao (22425801)

Verification of the in-line PS function. by Raul Castañeda (13932971)

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 the application of different clustering algorithms to average functional connectivity from healthy subjects. by Francisco Páscoa dos Santos (16510676)

“…Inertia was calculated using the scikit learn module in Python. B) Resulting cluster distance from hierarchical clustering to averaged functional connectivity from healthy subjects, with different numbers of clusters. …”

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

Adaptive H-REMD simulation algorithm. by Danial Pourjafar-Dehkordi (7165523)

Example of the CNF function for off-axis DHM holograms recorded in a non-telecentric configuration. by Raul Castañeda (13932971)

A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finite element analysis coupled with user’s subroutine for changes in bone density. by Hassan Mehboob (8960273)

“…<p>A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finite element analysis coupled with user’s subroutine for changes in bone density.…”

STD and STD/mean as a function of <i>N</i>_<i>p</i> for distribution of points with added noise. by Luca Maria Del Bono (20479625)

“…<p>STD (a) and STD/mean (b) as a function of <i>N</i>_<i>p</i> for distribution of points with added noise, before and after GD. …”

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

“…<p><b>Robust estimation of location for data on the unit sphere</b><math><mrow><mrow><mi>S</mi></mrow><mrow><mi>p</mi><mo>−</mo><mn>1</mn></mrow></mrow></math><b>is an important problem in directional statistics even though the influence functions of the sample mean direction and other location estimators are bounded. …”

Logarithmic mean convergence curves of different algorithms. by Wei Liu (20030)

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

Brief sketch of the quasi-attraction/alignment algorithm. by Takayuki Niizato (162226)

“…(D) A brief sketch of the avoidance algorithm. Upper: Each direction is extended to the repulsion area = {<b><i>r</i></b>||<b><i>r</i></b>| = <i>R</i>}, where is the minimal sphere cap that covers all points on . …”

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). …”

Performance validation of different algorithms in two benchmark functions. by Wenjing Wang (181404)

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