Coarse-fine optimization algorithm. by Chao Ma (207385)

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ROC curves of CNN + LSTM model and traditional algorithms. by Zhongzhong Guo (12133402)

Subjects:

Python scripts used to model CPU errors by Poisson distribution density mass function and to draw graph of Poisson events (needs Matplot, SciPy, PysimpleGUI and NumPy) by Santhosh Kumar Rajamani (13023678)

Efficient Algorithms for GPU Accelerated Evaluation of the DFT Exchange-Correlation Functional by Ryan Stocks (16867476)

“…In contrast, for smaller and denser systems such as diamond nanoparticles, especially if employing large basis sets, algorithms that use the underlying molecular orbital coefficients offer superior performance, despite their higher formal scaling. …”

Changes in the target objective function for different confidence levels. by Yangjun Ren (17691912)

Structure diagram of dynamic signal light scheduling algorithm. by Guangling Sun (18165493)

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Search Algorithms and Loss Functions for Bayesian Clustering by David B. Dahl (11761055)

“…<p>We propose a randomized greedy search algorithm to find a point estimate for a random partition based on a loss function and posterior Monte Carlo samples. …”

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

“…<p dir="ltr"><b>Opti2Phase: Python Scripts for Two-Stage Focal Reducer Design</b></p><p dir="ltr">The folder <b>Opti2Phase</b> contains the Python scripts used to generate the results presented in the manuscript. …”

Genetic algorithm flowchart. by Junjie He (700642)

Subjects: “…coverage attenuation function…”

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

Objective function values and CPU times of the considered solution approaches. by Yangjun Ren (17691912)

Objective function values and CPU times of the considered solution approaches. by Yangjun Ren (17691912)

Framework of the proposed algorithm. by Jia Li (160557)

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Location schemes and objective function values for different values of the confidence level. by Yangjun Ren (17691912)

PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call. by Gursimran Singh (575288)

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Gillespie algorithm simulation parameters. by Nicholas H. Vitale (20469289)

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RRMSE and SSIM values of reconstructed images by the proposed algorithms and the compared methods for the third study case. by Mona Selim (12969227)

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Control parameters of the SOMA algorithm. by Quoc Bao Diep (18452207)

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

Available functions in the utility package. by Raul Castañeda (13932971)