ADT: A Generalized Algorithm and Program for Beyond Born–Oppenheimer Equations of “<i>N</i>” Dimensional Sub-Hilbert Space by 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 generic proteomics flow. by Muhammad Usman Tariq (11022141)

Algorithmic Chronology of Structural Agents and Water Nodes. by Robert J. Wagner (9857666)

Continuous Flow Chemistry and Bayesian Optimization for Polymer-Functionalized Carbon Nanotube-Based Chemiresistive Methane Sensors by John H. Dunlap (5954933)

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Flow chart of carbon fiber production. by Ruyi Dong (9038174)

“…In addition, to verify the performance and robustness of LLSKSO, comparison experiments between LLSKSO and 10 well-known algorithms are conducted on 50 benchmark test functions. …”

Impact of breath-detection algorithms on main MBW outcomes. by Marc-Alexander Oestreich (13961375)

Algorithm control flow chart. by Guangliang Li (194029)

PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call. by Gursimran Singh (575288)

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Workflow of the BOMS algorithm. by Ocima Kamboj (21533199)

Flow chart of LEO algorithm. by Jianxia Zhang (650535)

The flow of the genetic algorithm with the nested Frank-Wolfe algorithm. by Zhipeng Huang (1759759)

Boxplots for the maximising function of pattern matching technique. by Pratik Mullick (12851011)

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Stripes for a typical trial of counter flow. by Pratik Mullick (12851011)

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Flow chart of the algorithm structure of this paper. by Yunpeng Bai (1714087)

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

“…These implementations need to utilize high-precision arithmetic, and are programmed in the Python programming language. A thorough comparison with existing R functions allows the identification of cases when the latter fail, and provide further guidance to their use.…”

Illustration of the objective function. by Danilo Jorge dos Santos Nakoneczny (15411461)

Auto-tuning algorithm of the weight factors in the cost function. by Syed Umaid Ali (14486372)

Constructing the dynamical law. by Robert Marsland (8616483)

Definitions of global parameters used for constructing random ecosystems. by Robert Marsland (8616483)

Optimal model generation algorithm. by Anton Sobinov (9854047)

“…<b>C</b>. The optimization flow schematic showing the flow of calculations using the amalgamated algorithm of model generation with physical constraint. …”