Performance comparison of recent and effective algorithms for minimizing error-based cost functions. by Davut Izci (15927452)

Subjects:

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

Efficient Parameterization of Density Functional Tight-Binding for 5<i>f</i>‑Elements: A Th–O Case Study by Chang Liu (35901)

Subjects:

Efficient Parameterization of Density Functional Tight-Binding for 5<i>f</i>‑Elements: A Th–O Case Study by Chang Liu (35901)

Subjects:

<b>Opti2Phase</b>: Python scripts for two-stage focal reducer by 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. by Robert Marsland (8616483)

Cost function with VPLE. by Ijaz Ahmed (1545961)

Subjects:

Cost function depending on the waiting time. by Ludovica Adacher (11238189)

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

“…<p>Flowchart showing the basic functioning of our implementation of the algorithm described in this paper.…”

Inverted Generational Distance (IGD) comparison of six algorithms—MOPSO, rNSGA-II, IM-MOEA/D, MOEA/D-FRR-MAB, dMOPSO, and QLNSGA-II—on benchmark test suites. by Zhongfeng Li (3965060)

Subjects:

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

Subjects:

Data_Sheet_1_Resting-State Functional Connectivity Estimated With Hierarchical Bayesian Diffuse Optical Tomography.docx by Takatsugu Aihara (4433524)

“…Compared with the currently prevailing algorithms, our HB algorithm showed better performances in both the similarity to fMRI data and inter-run reproducibility, in terms of estimating the RSFC.…”

Cost function of storage facility construction. by Qian Huang (127640)

Comparison of the results of our code in with references for some cases. by Maryam Shadi (14237349)

Subjects:

Schematic of the designed ROSA network, including power division, BFN, pase compensation and phase shifter units, for which the geometry parameters are L-PD = 17.54, L-BFN = 84.5,... by Maryam Shadi (14237349)

Subjects:

The definition of parameters of Eq 1. by Maryam Shadi (14237349)

Subjects:

Fig 9 - by Maryam Shadi (14237349)

Subjects:

Fig 5 - by Maryam Shadi (14237349)

Subjects:

Fig 3 - by Maryam Shadi (14237349)

Subjects:

Fig 8 - by Maryam Shadi (14237349)

Subjects: