Article
Lagrange’s Mathematical Equations in the Sports Training of College Students
Authors
Abstract
Because the current sports group competition middle school students’ motion video recognition is complicated, the article uses Lagrangian mathematical equations to classify the motion videos. Based on the spatial smoothness of the flicker parameter function, this paper proposes a Lagrangian mathematical method for detecting local motion regions. The research results show that the motion differential equation and numerical calculation method of the video derived in the article are correct.
Keywords
Sports training, Video classification, Classification storage, Lagrange-Gaussian transform, 11J06
Citation
Wan, Z. (2022). Lagrange’s mathematical equations in the sports training of college students. Applied Mathematics and Nonlinear Sciences, 7(2), 363–372. https://doi.org/10.2478/amns.2022.2.0184
Z. Wan, “Lagrange’s mathematical equations in the sports training of college students,” Applied Mathematics and Nonlinear Sciences, vol. 7, no. 2, pp. 363–372, 2022, doi: 10.2478/amns.2022.2.0184.
Wan Z. Lagrange’s mathematical equations in the sports training of college students. Applied Mathematics and Nonlinear Sciences. 2022;7(2):363–372. doi:10.2478/amns.2022.2.0184.
Wan, Z. (2022), ‘Lagrange’s mathematical equations in the sports training of college students’, Applied Mathematics and Nonlinear Sciences, 7(2), pp. 363–372. Available at: https://doi.org/10.2478/amns.2022.2.0184.
Wan, Zhongyu. “Lagrange’s Mathematical Equations in the Sports Training of College Students.” Applied Mathematics and Nonlinear Sciences, vol. 7, no. 2, 2022, pp. 363–372. https://doi.org/10.2478/amns.2022.2.0184.
Wan, Zhongyu. “Lagrange’s Mathematical Equations in the Sports Training of College Students.” Applied Mathematics and Nonlinear Sciences 7, no. 2 (2022): 363–372. https://doi.org/10.2478/amns.2022.2.0184.
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Published by: Engineering Journals
