Shanshan Xu
Xinjiang Hetian College, Hetian 848000, Xinjiang, China.
*Corresponding author: Shanshan Xu
Abstract
The performance and effectiveness of artificial intelligence algorithms are often determined by their level of optimization. Computational mathematics, as a discipline focused on numerical solutions to mathematical problems, provides powerful tools and methodologies for optimizing AI algorithms. By applying the theories and methods of computational mathematics to AI algorithm optimization, we can enhance algorithm efficiency, accuracy, and stability, thereby advancing the development of artificial intelligence technology. This paper explores the critical applications of computational mathematics in AI algorithm optimization, aiming to provide valuable references for better understanding and implementing computational mathematics-driven optimization strategies in AI algorithms.
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How to cite this paper
Research on the Optimization Application of Artificial Intelligence Algorithm in Computational Mathematics
How to cite this paper: Shanshan Xu. (2025) Research on the Optimization Application of Artificial Intelligence Algorithm in Computational Mathematics. Advances in Computer and Communication, 6(4), 195-199.
DOI: http://dx.doi.org/10.26855/acc.2025.10.007