Piecewise linear charging function with 2 pieces. حسب Fengjie Fu (7314347)

الموضوعات: "…Lagrangian relaxation algorithm…"

Performance comparison of algorithms in ZDT5 and ZDT6 function tests. حسب Tao Dong (15551)

Comparison of algorithm performance in ZDT3 and ZDT4 function tests. حسب Tao Dong (15551)

Simulations details for the Rosenbrock function. حسب Rutinaldo Aguiar Nascimento (14259594)

الموضوعات:

Simulations details for the Rastrigin function. حسب Rutinaldo Aguiar Nascimento (14259594)

الموضوعات:

Population <i>versus</i> success rate for the Rosenbrock function. حسب Rutinaldo Aguiar Nascimento (14259594)

الموضوعات:

Population <i>versus</i> success rate for the Rastrigin function. حسب Rutinaldo Aguiar Nascimento (14259594)

الموضوعات:

EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit حسب Gonzalo Colmenarejo (650249)

"…For a RDKit molecule, it provides (i) a PNG binary string with an image of the molecule with color-highlighted functional groups; (ii) a list of sets of atom indices (idx), each set corresponding to a functional group; (iii) a list of pseudo-SMILES canonicalized strings for the full functional groups; and (iv) a list of RDKit labeled mol objects, one for each full functional group. …"

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). …"

Forward and inverse problems and misfit function. حسب Rutinaldo Aguiar Nascimento (14259594)

الموضوعات:

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

"…Our implementations deliver speedups of 1.4–5.2× for XC potential evaluation relative to leading GPU-accelerated KS-DFT codes, significantly lowering the computational cost and enabling the routine use of larger integration grids. …"

Search Algorithms and Loss Functions for Bayesian Clustering حسب 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 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.…"

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

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

الموضوعات:

Running memory of the algorithms. حسب Yanju Zhang (437336)

الموضوعات:

Weighted cost results of FMM in the two triangulated manifolds TM-I and TM-II as functions of resolution. حسب Tianjiao Wang (761650)

Sparsity-promoting cost functions <i>c</i> considered and their corresponding thresholding operators. حسب Ilias Rentzeperis (10215602)

Weighted cost results of DBA in different gridded graphs GG-I and GG-II/III as functions of resolution. حسب Tianjiao Wang (761650)

Performance comparison of mainstream algorithms. حسب Junjie Lu (160350)

الموضوعات: