Time-discretization of a plasma-neutral MHD model with a semi-implicit leapfrog algorithm

Taheri, Sina; King, Jacob; Shumlak, U.

doi:10.1016/j.cpc.2022.108288

Cited by 4 publications

(1 citation statement)

References 51 publications

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“…Some scholars also put forward a discrete analysis model, which can judge the influence degree between data Wang et al [ 3 ], but the quantitative relationship between factors is relatively small. In the case of massive data, the discrete analysis model lacks comprehensive judgment ability, and the accuracy of the results will be greatly reduced Taheri et al [ 4 ]. Therefore, some scholars put forward a continuous discrete algorithm to analyze the relationship between data and choose the corresponding progressive scheme Ognjenovic et al [ 5 ], which can greatly improve the accuracy of the results and the research on this content shows an upward trend.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Influencing Factors of College Students’ Physical Exercise Habits Based on the Continuous Discrete Algorithm

Zhang

Jiang

Shi

et al. 2022

Journal of Environmental and Public Health

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At present, college students give great importance to their physical training, but their physical habits are poor and they cannot exercise regularly. In view of the influencing factors in the habit formation of physical exercise, this paper puts forward a continuous discrete algorithm to provide students with a scientific and reasonable habit formation scheme. First, the data of college students’ physical exercise habits are collected, and the data are cleaned and continuously analyzed to initially form a habit formation data set; Then, the information gain and clustering thought in the discrete algorithm are used to judge the data change, and the ordered relationship among the factors is obtained. Finally, in judging the influence degree of each factor, we find out the final influencing factors. MATLAB simulation shows that the continuous discrete algorithm can accurately analyze the problem of physical exercise habit formation and sort the influencing factors, with an accuracy rate of 90% and a calculation time of less than 19 minutes, which is significantly better than the original discrete algorithm.

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Section: Introductionmentioning

confidence: 99%

Analysis of Influencing Factors of College Students’ Physical Exercise Habits Based on the Continuous Discrete Algorithm

Zhang

Jiang

Shi

et al. 2022

Journal of Environmental and Public Health

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An unconditionally stable modified leapfrog method for Maxwell's equation in Kerr-type nonlinear media

Chen,

Gao,

Kong

2024

Computers & Mathematics with Applications

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An analysis and successful benchmarking of the Chapman-Enskog-like (CEL) continuum kinetic closure approach algorithm in NIMROD

Jepson,

Hegna,

Held

et al. 2025

Computer Physics Communications

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Time-discretization of a plasma-neutral MHD model with a semi-implicit leapfrog algorithm

Abstract: Time-discretization of a plasma-neutral MHD model with a semi-implicit leapfrog algorithm

Cited by 4 publications

References 51 publications

Analysis of Influencing Factors of College Students’ Physical Exercise Habits Based on the Continuous Discrete Algorithm

Analysis of Influencing Factors of College Students’ Physical Exercise Habits Based on the Continuous Discrete Algorithm

An unconditionally stable modified leapfrog method for Maxwell's equation in Kerr-type nonlinear media

An analysis and successful benchmarking of the Chapman-Enskog-like (CEL) continuum kinetic closure approach algorithm in NIMROD

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