Research on the Characteristics of College Students' Physical Fitness Database in Mathematical Statistics. Issue 4 (June 2021)

• Record Type: Journal Article
• Authors: Ji, Lei; Dai, Donghui; Sun, Rui; Sun, Weidong; Yu, Tianbo
• Is Part Of: Journal of physics. Volume 1952:Issue 4(2021)
• Publication Date: 2021-06
• Subjects: College students -- physique -- database -- mathematical statistics; Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1952/4/042047
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: With the rapid advancement of database theory, this paper uses mathematical algorithm modeling methods, and derives the mathematical XXX derivation. In combination with Android system optimization, the performance is improved through the use of Java language and MySQL database, and XXX empirical formulas are used. Finally, after AP ' s continuous dynamic interactive communication and tracking statistical comparative analysis, it proves that the physical fitness database algorithm has significant effects. It shows that the real-time health information and exercise effect of the college student's physical fitness database can help college students develop long-term exercise habits and health. Plays a positive role.