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

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

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Results of searching performance of the improved NAG algorithm on Rosenbrock function, Ackley function, and Rastrigin function. by Rui Zhang (13940)

Results of searching performance of different algorithm models on the Rosenbrock function, Ackley function, and Rastrigin function. by Rui Zhang (13940)

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

Experiment 1b: Evaluating modularity-based consensus clustering pipelines on the algorithm design datasets as a function of the mixing parameter. by Yasamin Tabatabaee (18095491)

Approximate energy consumed per particles in <i>nano Joules</i> (<i>nJ</i>) for various computation platforms and algorithms (A: first algorithm, B: second algorithm, C: third algo... by Abedalmuhdi Almomany (18547669)

a) FO Function, b) FI function. by Huang Jiexian (17060975)

“…The SRL32 primitive (Reconfigurable Look up Tables—RLUTs) and DPR (Dynamic Partial Reconfiguration) are employed to reconfigure single round MISTY1 / KASUMI algorithms on the run-time. The RLUT based architecture attains dynamic logic functionality without extra hardware resources by internally modifying the LUT contents. …”

<b>The Application of the Optimized Genetic Algorithm in SerDes Circuit Design</b> by Xuan Wei (18564826)

“…The CDR structure based on phase selector/phase interpolator type is used as the CDR circuit of the high-speed serial interface so that the final circuit function and performance meet the requirements. Through simulation experiments, it is found that the optimized GA can ensure that the evolved parameters allow the transistor to work in the saturation region to complete the circuit optimization design of the common-drain amplifier. …”

Demonstration of algorithm design and operationalization. by Tobias S. Brett (5353364)

“…Half were emerging (<i>R</i>₀ had an increasing trend with endpoint <i>R</i>₀ = 1), and half were not (no overall trend). (b) For each parameter set, a stochastic simulation algorithm was used to produce a time series of weekly case reports, subject to observation error. …”

The execution times (nano seconds) per particle are measured for four different algorithms [47], (A: first algorithm, B: second algorithm, C: third algorithm: and D: fourth algorit... by Abedalmuhdi Almomany (18547669)

Flowchart of the general algorithm for one trial. by Junying Wang (509009)

Reward function related parameters. by Honglei Pang (22693724)

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Genetic algorithms can be applied to higher-dimensional design problems. by Lu Hong (399882)

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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)

Example of landmark registration to align ‘peaks’ of high density in the probability density function (PDF) of CD4 expression on blood T cells for a target distribution and chosen... by Ross J. Burton (10941910)

GELU function. by Yuanzhou Zheng (15195249)

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. …”

Modular architecture design of PyNoetic showing all its constituent functions. by Gursimran Singh (575288)

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