Average running time of different algorithms. حسب Wei Liu (20030)

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

"…In this paper, a new RDKit/Python implementation of the algorithm is described, that is both accurate and complete. …"

Function graph and algorithm iterative graph. حسب WanRu Zhao (18980374)

الموضوعات:

Comparison of the running time(in ms) of the three algorithms. حسب Yaling Zhang (1687540)

The averages of the objective function and computational time in solving the large-sized problems by metaheuristic algorithms. حسب Seyed Jafar Sajadi (12213268)

"…<p>The averages of the objective function and computational time in solving the large-sized problems by metaheuristic algorithms.…"

Average running times for the different algorithms. حسب Ayush Dogra (17054597)

The optimal solution set of NYN by using different algorithms. حسب Yi Tao (178829)

الموضوعات: "…evolutionary genetic algorithm…"

The optimal solution set of HN by using different algorithms. حسب Yi Tao (178829)

الموضوعات: "…evolutionary genetic algorithm…"

Time complexity of each ERA function. حسب Noel Farrugia (15322540)

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

الموضوعات:

PyNoetic’s feature extraction module that supports time domain features, frequency domain features, time-frequency domain features, spatial features as well as Brain Connectivity m... حسب Gursimran Singh (575288)

الموضوعات:

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

The obtained cost function values with respect to each run of different algorithms. حسب Davut Izci (15927452)

الموضوعات:

Experimental results for all algorithms on benchmark functions. حسب Shuhan Du (13955497)

Objective functions (i.e., RMSEs) and time of optimization for different population sizes of the used algorithms. حسب Yao Peng (1928524)

"…<p>Objective functions (i.e., RMSEs) and time of optimization for different population sizes of the used algorithms.…"

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) حسب Santhosh Kumar Rajamani (13023678)

Final assignment algorithm. حسب Negin Alisoltani (11949357)

Optimization results of different algorithms on benchmark functions. حسب Guangwei Liu (181992)

C-code for calculation of the temporal correlation function dependent on time. حسب Aleksey Valkov (9251744)

Ant colony algorithm function and parameter explanation. حسب Yang Yu (4292)