MSEs for the adaptive filtering algorithms by using hyperbolic functions. by Sihai Guan (11547518)

Multidimensional Morse/Long-Range Potential Energy Surface and Predicted Rotational Spectra of the CH₄–N₂ Complex by Xiao-Long Zhang (299838)

Subjects:

Flowchart for the genetic algorithm used in this article. by Behnam Kia (6111551)

Variations of loss functions versus epoch number. by Xueliang Guo (4797057)

Systematically Improvable Tensor Hypercontraction: Interpolative Separable Density-Fitting for Molecules Applied to Exact Exchange, Second- and Third-Order Møller–Plesset Perturbat... by Joonho Lee (1351974)

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Design and implementation of DelaySSA. The input data for DelaySSA are reaction information, initial states, parameters and delays. Combining these into the simulation function, th... by Ziyan Jin (21021976)

The results of sensitivity analysis on the developed ensemble model to rank the importance of factors involved in <i>Agrobacterium</i>-mediated gene transformation of chrysanthemum... by Mohsen Hesami (6917390)

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Algorithmic flow of the verifiable delay function. by Xinhao Zheng (16637664)

Multinode Multi-GPU Two-Electron Integrals: Code Generation Using the Regent Language by K. Grace Johnson (9040330)

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

Subjects: “…evolutionary genetic algorithm…”

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

Subjects: “…evolutionary genetic algorithm…”

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

“…The “ADT” program can be efficiently used to (a) formulate analytic functional forms of differential equations for ADT angles and diabatic potential energy matrix and (b) solve the set of coupled differential equations numerically to evaluate ADT angles, residue due to singularity­(ies), ADT matrices, and finally, diabatic potential energy surfaces (PESs). …”

Schematic depiction of the updating rules used for the RL-Elo and Sequential Monte Carlo (SMC) algorithms by Greg Jensen (712648)

“…The choice is made on the basis of a weighted average of the probabilities, and the feedback is used to update the weights (strengthening or weakening each ordering’s influence as a function of how well it predicted the outcome of the trial). …”

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

Flowchart of proposed fitness function algorithm. by Ferhat Yuna (21519851)

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Complementary cumulative distribution functions of in degree distribution and fitted power law, lognormal and truncated power law distributions. by Olga Valba (10531121)

The used test functions in the evaluation. by Xuan Chen (158617)

Eight commonly used benchmark functions. by Guangwei Liu (181992)

“…The proposed algorithm was evaluated on eight standard benchmark functions, CEC2019 benchmark functions, four engineering design problems, and a PID parameter optimization problem. …”

Discovery of Protein Modifications Using Differential Tandem Mass Spectrometry Proteomics by Paolo Cifani (1575613)

“…Termed SAMPEI for spectral alignment-based modified peptide identification, this open-source algorithm is designed for the discovery of functional protein and peptide signaling modifications, without prior knowledge of their identities. …”

Discovery of Protein Modifications Using Differential Tandem Mass Spectrometry Proteomics by Paolo Cifani (1575613)

“…Termed SAMPEI for spectral alignment-based modified peptide identification, this open-source algorithm is designed for the discovery of functional protein and peptide signaling modifications, without prior knowledge of their identities. …”