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)

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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.</li><li>A subfolder named <b>Images</b>, which stores the figures generated by six of the seven provided scripts.…”

Diagram of the algorithm used during the training phase. by Ana P. Arantes (17131753)

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. …”

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)

The algorithm for achieving the research objectives illustrating the process of developing a mathematical model of the braking moment as a function of tire deformation. by Bartosz Wieczorek (8098352)

Reward function related parameters. by Honglei Pang (22693724)

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

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

Explained variance ration of the PCA algorithm. by Abeer Aljohani (18497914)

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SBH17: Benchmark Database of Barrier Heights for Dissociative Chemisorption on Transition Metal Surfaces by T. Tchakoua (7202804)

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Algorithm results based on experimental likelihood functions. by Nicolas Herzig (9230425)

A CONSTRUCTIVE GLOBAL CONVERGENCE OF THE MIXED BARRIER-PENALTY METHOD FOR MATHEMATICAL OPTIMIZATION PROBLEMS by Porfirio Suñagua (10384526)

“…<div><p>ABSTRACT In this paper we develop a generic mixed bi-parametric barrier-penalty method based upon barrier and penalty generic algorithms for constrained nonlinear programming problems. …”

Box plot of the algorithms based on 12 benchmark functions. by Chuang Zhang (2199421)

“…<p>Box plot of the algorithms based on 12 benchmark functions.</p>…”

Convergence behavior of the algorithms based on 12 benchmark functions. by Chuang Zhang (2199421)

“…<p>Convergence behavior of the algorithms based on 12 benchmark functions.</p>…”

Algorithm results based on FE simulated likelihood functions. by Nicolas Herzig (9230425)

A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction me... by Hector Torres (11708207)

Search-based testing (Genetic Algorithm) - Chapter 11 of the book "Software Testing Automation" by Saeed Parsa (13893726)

“…</p> <p><br></p> <p>3. Algorithm</p> <p>Below is the main body of the test data generator program:</p> <p>  </p> <p>the main body of a Python program to generate test data for Python functions.…”

Illustration of methods based on Green’s function first-passage algorithms. by Jean Marc Tregan (15195173)

“…<p>Illustration of methods based on Green’s function first-passage algorithms.…”