乌德穆尔特大学学报：数学、力学与计算机科学 SCIE

期刊简介预计审稿时间：

Vestnik Udmurtskogo Universiteta matematika Mekhanika Kompyuternye Nauki focuses on fields such as mathematics, mechanics, and computer science. In terms of mathematics, the journal covers research results from multiple branches such as algebra, geometry, analysis, and number theory. The field of mechanics is rich and diverse, including theoretical mechanics, fluid mechanics, solid mechanics, and so on. The latest experimental research on the mechanical properties of materials, or numerical simulation analysis of complex mechanical systems. The computer science section follows the trend of the times and explores hot topics such as artificial intelligence, machine learning, algorithm design, and database management. Taking the study of how to use deep learning techniques to improve the accuracy of image recognition or optimize the query efficiency of large databases as an example.

This journal provides a platform for academic exchange and sharing, promoting cross disciplinary integration between different disciplines. It not only publishes cutting-edge theoretical research results, but also focuses on innovative solutions in practical applications. Many researchers have demonstrated their new methods and ideas in solving complex scientific problems by publishing articles in this journal. For example, in the interdisciplinary field of mathematics and computer science, some scholars have proposed mathematical theories for optimizing algorithm efficiency. It has attracted the attention of numerous scholars at home and abroad with its rigorous academic attitude and high-quality content, becoming an important force in promoting the development of related disciplines.

《乌德穆尔特大学学报：数学、力学与计算机科学》聚焦于数学、力学和计算机科学等领域。在数学方面，该期刊涵盖了代数、几何、分析、数论等多个分支的研究成果。力学领域的内容丰富多样，包括理论力学、流体力学、固体力学等。有关于材料力学性能的最新实验研究，或者复杂力学系统的数值模拟分析。计算机科学部分则紧跟时代潮流，探讨人工智能、机器学习、算法设计、数据库管理等热门话题。以研究如何利用深度学习技术提高图像识别的准确率，或者优化大型数据库的查询效率为例。

本期刊为学术界提供了一个交流与分享的平台，促进了不同学科之间的交叉融合。它不仅发表前沿的理论研究成果，也关注实际应用中的创新解决方案。许多研究人员通过在该期刊上发表文章，展示了他们在解决复杂科学问题方面的新方法和新思路。比如，在数学与计算机科学的交叉领域，有学者提出了用于优化算法效率的数学理论。它以其严谨的学术态度和高质量的内容，吸引了国内外众多学者的关注，成为推动相关学科发展的重要力量。

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