On the Study of Data Structure
Keywords:
Linear structure, Nonlinear structure, Single-chain tables, TreesAbstract
Data structure is a set of data elements which have one or more relationships with each other and the relationship between data elements in the set.Data structure is to teach you how to write a better algorithm, and a good procedure is the algorithm + data structure reflected, so the study of data structure is extremely important, the data structure of the classification is particularly much, extremely easy to confuse.
References
Zhou, Z. (2026). Hierarchical Needs in US Automotive Customer Feedback and the Sentiment–Function Nexus. Journal of Industrial Engineering and Applied Science, 4(1), 27-33.
Wensi, L. (2026). AI-Assisted Marketing Content Generation for Non-Standard Industrial Automation Solutions. Journal of Economic Theory and Business Management, 3(1), 18-25.
Deng, X. (2025). Homomorphic Encryption-Based Data Integrity Verification and Anti-Tampering Mechanism in Cloud Storage Environment.
Zhang, T. (2025). From Black Box to Actionable Insights: An Adaptive Explainable AI Framework for Proactive Tax Risk Mitigation in Small and Medium Enterprises.
Deng, X., & Yang, J. (2025, August). Multi-Layer Defense Strategies and Privacy Preserving Enhancements for Membership Reasoning Attacks in a Federated Learning Framework. In 2025 5th International Conference on Computer Science and Blockchain (CCSB) (pp. 278-282). IEEE.
Lin, Z., Liu, X., Xiang, Y., & Hong, Y. (2025). Modeling multivariate degradation data with dynamic covariates under a Bayesian framework. Reliability Engineering & System Safety, 111115.
Lin, Z., Wang, Y., & Hong, Y. (2023). The computing of the Poisson multinomial distribution and applications in ecological inference and machine learning. Computational Statistics, 38(4), 1851-1877.
Jin, Y., Zhang, Y., Xu, Z., Zhang, W., & Xu, J. (2024, November). Advanced object detection and pose estimation with hybrid task cascade and high-resolution networks. In 2024 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML) (pp. 1293-1297). IEEE.
Mehta, R., Patwar, N., Wei, X., Saunders, E., Zhu, X., & Liu, J. (2026). Towards a National AI Security Framework for Financial Infrastructure Protection. International Journal of Advance in Applied Science Research, 5(2), 39–50. Retrieved from https://h-tsp.com/index.php/ijaasr/article/view/251
Yi, X. (2025, October). Real-Time Fair-Exposure Ad Allocation for SMBs and Underserved Creators via Contextual Bandits-with-Knapsacks. In Proceedings of the 2025 2nd International Conference on Digital Economy and Computer Science (pp. 1602-1607).
Tang, Y., Kojima, K., Gotoda, M., Nishikawa, S., Hayashi, S., Koike-Akino, T., ... & Klamkin, J. (2020). Design and Optimization of Shallow-Angle Grating Coupler for Vertical Emission from Indium Phosphide Devices.
Xie, Y., Li, Z., Yin, Y., Wei, Z., Xu, G., & Luo, Y. (2024). Advancing legal citation text classification A Conv1D-based approach for multi-class classification. Journal of Theory and Practice of Engineering Science, 4(02), 15-22.
Yang, J., Wang, Z., & Chen, C. (2024). GCN-MF: A graph convolutional network based on matrix factorization for recommendation. Innovation & Technology Advances, 2(1), 14–26. https://doi.org/10.61187/ita.v2i1.30
Zhou, J., & Cen, W. (2024). Investigating the Effect of ChatGPT-like New Generation AI Technology on User Entrepreneurial Activities. Innovation & Technology Advances, 2(2), 1–20. https://doi.org/10.61187/ita.v2i2.124
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