Fixed Point Theory, Nonlinear Differential Equations and Computational Algorithms on Data Analytics

数据分析中的不动点理论、非线性微分方程和计算算法

• 批准号: RGPIN-2016-06098
• 负责人: Feng, Wenying
• 金额: $ 1.31万
• 依托单位: Trent University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=635189
• 关键词: Fixed; Point; Theory; Nonlinear; Differential

The proposed research overlaps with three closely related areas in applied mathematics and computing: fixed point theory, nonlinear differential equations and computational algorithms for data analytics. Each topic on its own is important and substantial. Connecting the three areas together (fixed-point theory, nonlinear differential equations, and neural networks) along a continuum from theory to real-world applications is innovative and the central focus of my research.

拟议的研究与应用数学和计算中三个密切相关的领域重叠：不动点理论，非线性微分方程和数据分析的计算算法。每个主题本身都是重要和实质性的。将这三个领域（不动点理论、非线性微分方程和神经网络）沿着从理论到现实世界应用的连续统一体连接在一起是创新的，也是我研究的中心焦点。