坚持不的梅耶尔·迪拉克
Faisal Suwayyid1,2, Guo-Wei Wei2,3,4
1Department of Mathematics, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia.
概括
本研究介绍了N链复合体的Mayer-Dirac运算符,概括了拓数据分析的经典方法. 这些运算符增强了分子表示和数据科学应用.
科学领域:
- 数学 数学 是一个数学.
- 拓学的拓学
- 数据科学数据科学数据科学
背景情况:
- 拓数据分析 (TDA) 使用迪拉克运算符进行信号和分子表示.
- 目前的TDA方法仅限于经典链复合体.
研究的目的:
- 建立基于N链复合体的梅尔·迪拉克运算符.
- 为了将经典的狄拉克运算子和拉普拉斯运算子推广到更广泛的应用中.
主要方法:
- 为N链复合体开发梅耶尔·迪拉克运算子.
- 拉普拉西安对于由顶点序列诱导的N链复合体的配方.
- 引入加权的梅尔拉普拉西安和迪拉克运算符.
- 拉普拉斯因子分解的概括.
主要成果:
- 建立了迈尔·迪拉克运算符作为经典运算符的概括.
- 引入加权运算符,以提高捕获物理属性的可用性.
- 证明了拉普拉斯运算符的因数分解.
- 成功地将持久的梅尔·迪拉克运算符应用于生物和化学数据.
结论:
- 梅耶尔·迪拉克运算符为TDA提供了一个通用的框架.
- 权重运算符和扩展可以提高实际应用性.
- 这些方法在分子结构分析和数据科学方面显示出重大潜力.
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