Compare algorithm parameter settings. حسب Yuqi Xiong (12343771)

الموضوعات:

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

"…In `main.py`, the parameters for the TAMS algorithm are specified (trajectory time, time step, score function, number of particles, type of score threshold, maximum number of iterations, noise level etc.). …"

-value on 23 benchmark functions (dim = 30). حسب Yuqi Xiong (12343771)

الموضوعات:

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

Cost functions implemented in Neuroptimus. حسب Máté Mohácsi (20469514)

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

Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results حسب 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). …"

<b>Opti2Phase</b>: Python scripts for two-stage focal reducer حسب 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.…"

Constructing the dynamical law. حسب Robert Marsland (8616483)

The results of 12 benchmarking functions in terms of the average fitness function values. حسب Chuang Zhang (2199421)

Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic حسب NELSON L. DIAS (8078003)

"…With these practical rules, simple summation algorithms provide sufficiently robust results for the calculation of the density function and its definite integrals. …"

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

Visualization and balancing the cost function with the Pauli term. حسب Alexander Borst (32619)

Flowchart showing the basic functioning of our implementation of the algorithm described in this paper. حسب Pablo Rodríguez-Sánchez (6711683)

Results obtained by different algorithms on 23 benchmark functions. حسب Yuqi Xiong (12343771)

الموضوعات:

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

الموضوعات: "…evolutionary genetic algorithm…"

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

الموضوعات: "…evolutionary genetic algorithm…"

ADT: A Generalized Algorithm and Program for Beyond Born–Oppenheimer Equations of “<i>N</i>” Dimensional Sub-Hilbert Space حسب Koushik Naskar (7510592)

"…In order to overcome such shortcoming, we develop a generalized algorithm, “ADT” to generate the nonadiabatic equations through symbolic manipulation and to construct highly accurate diabatic surfaces for molecular processes involving excited electronic states. …"

A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data حسب Anthony S. Barente (14035175)

الموضوعات:

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