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Discrete Conformal Geometry of Surfaces and Applications

Discrete Conformal Geometry of Surfaces and Applications
曲面的离散共形几何及其应用
批准号:
1811878
负责人:
Feng Luo
金额:
$10.56万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-07-01 至 2022-09-30

项目摘要

项目成果

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中文摘要
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英文摘要
Digital surfaces are being massively produced from scanners, imaging systems, sensors and many other devices these days. How to compare and categorize these surfaces is an urgent and important problem. This National Science Foundation funded project aims to develop mathematical theories for an efficient and speedy classification of digital surfaces. A successful completion of this National Science Foundation funded project will have applications in medical imaging, game industry, engineering and many fields. Some of the earlier work of the PI in this area have already been used in health and game industries. The project work will further advance this progress and develop deep mathematics based on the classical Riemann surface theory and conformal geometry. The classical theory of Riemann surfaces is a powerful tool for classifying surfaces up to conformal diffeomorphisms. The most important theorem in the theory is the Poincare-Koebe's uniformization theorem. The theorem has a wide range of applications within and outside mathematics. However, computation of uniformization maps and metrics on non-flat surfaces are very difficult in general. The goal of the proposal is to develop a theory of discrete conformal geometry for polyhedral surfaces, to establish the counterpart of the uniformization theorem in the discrete setting, and to prove convergence of discrete conformal maps to conformal maps. The PI will develop efficient algorithms to compute uniformization metrics through collaboration. The main ingredient in developing a discrete conformal geometry is to define the notion of discrete conformality. In a recent joint work with collaborators, the PI introduced a notion of discrete conformal equivalence for polyhedral metrics on surfaces. The PI and his collaborators proved a discrete version of uniformization theorem for compact polyhedral surfaces and showed that discrete conformal maps converge to conformal maps on tori and disks. There remain several major open problems of establishing the convergence of discrete conformal maps for all surfaces and proving the discrete uniformization theorem for all non-compact simply connected surfaces. The discrete conformality introduced by us is closely related to the work of Alexandrov, Pogorelov and Thurston on convex surfaces in hyperbolic three-space, the classical Wyle problem and the Koebe circle domain conjecture. Tools developed in the classical area of mathematics will be used to solve the proposed problems.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(7)
专著(0)
科研奖励(0)
会议论文
An effective Lie–Kolchin Theorem for quasi-unipotent matrices
拟单能矩阵的有效李科尔钦定理
DOI: 10.1016/j.laa.2019.07.023
发表时间: 2019
期刊: Linear Algebra and its Applications
影响因子: 1.1
作者: [Koberda, Thomas, Luo, Feng, Sun, Hongbin]
通讯作者: Sun, Hongbin
Computational Conformal Geometry Behind Modern Technologies
现代技术背后的计算共形几何
DOI: 10.1090/noti2164
发表时间: 2020
期刊: Notices of the American Mathematical Society
影响因子: --
作者: [Xianfeng GU, Feng LUO]
通讯作者: Xianfeng GU, Feng LUO
Co-evolution of Opinion and Social Tie Dynamics Towards Structural Balance
舆论和社会关系动态的共同演化走向结构平衡
DOI: --
发表时间: 2022
期刊: Proceedings of the 2022 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA
影响因子: --
作者: [Haotian Wang, Feng Luo]
通讯作者: Haotian Wang, Feng Luo
DOI: 10.2140/gt.2022.26.937
发表时间: 2020-09
期刊: Geometry & Topology
影响因子: --
作者: [F. Luo;Jian Sun;Tianqi Wu]
通讯作者: F. Luo;Jian Sun;Tianqi Wu
ATD: Algorithms and Geometric Methods for Community and Anomaly Detection and Robust Learning in Complex Networks
  • 批准号:
    2220271
  • 项目类别:
    Standard Grant
  • 资助金额:
    $25.0万
  • 财政年份:
    2023
  • 负责人:
    Feng Luo
  • 依托单位:
Travel: NSF Student Travel Grant for 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
  • 批准号:
    2131662
  • 项目类别:
    Standard Grant
  • 资助金额:
    $2.0万
  • 财政年份:
    2021
  • 负责人:
    Feng Luo
  • 依托单位:
MRI: Acquisition of a Cyberinstrument for AI-Enabled Computational Science & Engineering
  • 批准号:
    2018069
  • 项目类别:
    Standard Grant
  • 资助金额:
    $65.1万
  • 财政年份:
    2020
  • 负责人:
    Feng Luo
  • 依托单位:
FRG: Collaborative Research: Geometric and Topological Methods for Analyzing Shapes
  • 批准号:
    1760527
  • 项目类别:
    Standard Grant
  • 资助金额:
    $26.43万
  • 财政年份:
    2018
  • 负责人:
    Feng Luo
  • 依托单位:
海外基金