课题基金 / 基金详情

Conference: Analysis on fractals and networks with applications, at Luminy

Conference: Analysis on fractals and networks with applications, at Luminy
会议:分形和网络分析及其应用,在 Luminy 举行
批准号:
2334026
负责人:
Alexander Teplyaev
金额:
$5.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2024
资助国家:
美国
项目状态:
已结题
起止时间:
2024-01-01 至 2024-12-31

项目摘要

项目成果

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中文摘要
翻译
该奖项资助美国的参与-基于研究人员在国际会议“分形和网络分析,及应用”(2024年3月18日至22日)在中心国际德Rencontres数学在Luminy,法国。会议的目的是汇集一群不同的既定和早期职业研究人员,讨论分形和网络分析的最新进展和应用。会议的主要主题包括纯数学和应用数学,科学和工程中的不规则性;网络分析;以及涉及分形和不规则形状的应用。一个明确的重点将放在面向工程和科学应用的理论和数值方法。预期的影响包括增加国际联合研究项目、学术访问、资金申请以及涉及应用数学和纯数学专家的讲习班活动。新的影响是通过参与研究人员在纯数学和应用数学分形模型的新的研究问题,导致后续活动,如学生交流和实习的理论和应用研究机构。本次会议是一系列会议的第一次,将促进一个充满活力的国际研究社区,明确关注分形模型在应用数学、工程和科学中的应用。分形模型在科学和工业应用中的应用是一个有前途的研究领域,具有显著的近期智力进步潜力。虽然有相当多的理论知识,但将这些知识转化为应用学科的工作仍不充分。为了实现这种转移,需要开展两大类活动。首先是为观察到的现象设计新的理论模型,对于这些现象,传统的(平滑的)模型要么不能应用,要么不能描述相关的特征。第二是开发工具来收集这些理论模型用于应用。在许多情况下,分形模型既不能用于数值方法,也不能用于构造原型。相反,人们必须依赖于易于处理的非分形近似,这些近似捕获了真正分形模型的基本特征,并得到了理论近似结果的支持(例如,谱收敛、通过图或度量图的近似)和适当的数值方法(新的特定域分解和网格、预处理技术、鲁棒和快速收敛方案)。本次会议的目标是促进纯粹和应用研究社区之间的联系,以促进上述知识transfer.https://conferences.cirm-math.fr/2950.htmlThis奖反映了NSF的法定使命,并已被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估的支持。
英文摘要
This award funds the participation of U.S.-based researchers in the international conference "Analysis on fractals and networks, and applications" (18 – 22 March, 2024) at the Centre International de Rencontres Mathématiques in Luminy, France. The objective of the conference is to bring together a diverse group of established and early-career researchers to discuss recent advances in, and applications of, analysis on fractals and networks. Major themes of the conference include irregularity in pure and applied mathematics, science, and engineering; analysis of networks; and applications involving fractals and irregular shapes. A clear emphasis will be put on theoretical and numerical methods oriented towards applications in engineering and the sciences. Anticipated impacts include increased activity in joint international research projects, academic visits, funding applications, and workshop activities involving experts from applied and pure mathematics. Additional impact is generated through the involvement of beginning researchers in novel research questions on fractal models in pure and applied mathematics, leading to follow-up activities such as student exchanges and internships at theoretical and applied research institutions. This event, the first in a planned series of conferences dedicated to the topic, will foster a vibrant international research community with a clear focus on the use of fractal models in applied mathematics, engineering, and the sciences.The use of fractal models in scientific and industrial applications is a promising area of research, with significant near-term potential for intellectual advances. Although a considerable body of theoretical knowledge is available, the transfer of that knowledge into applied disciplines remains underdeveloped. Two major types of activities are needed in order to effect such a transfer. First is the design of new theoretical models for observed phenomena, for which traditional (smooth) models either cannot be applied or fail to describe relevant features. Second is the development of tools to harvest these theoretical models for applications. In many cases, the fractal model is neither accessible to numerical methods nor useful to construct prototypes. Instead, one must rely on tractable, non-fractal approximations that capture essential features of the truly fractal model, buttressed by theoretical approximation results (e.g., spectral convergence, approximations by graphs or metric graphs) and suitable numerical methods (new specific domain decompositions and meshes, preconditioning techniques, robust and fast-converging schemes). The goal of this conference is to foster ties between pure and applied research communities in order to advance the aforementioned knowledge transfer.https://conferences.cirm-math.fr/2950.htmlThis 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.
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会议论文
Random, Stochastic, and Self-Similar Equations
  • 批准号:
    1613025
  • 项目类别:
    Standard Grant
  • 资助金额:
    $15.0万
  • 财政年份:
    2016
  • 负责人:
    Alexander Teplyaev
  • 依托单位:
Random, Stochastic, and Self-similar Equations
  • 批准号:
    1106982
  • 项目类别:
    Standard Grant
  • 资助金额:
    $32.09万
  • 财政年份:
    2011
  • 负责人:
    Alexander Teplyaev
  • 依托单位:
Random, Stochastic, and Self-similar Equations
  • 批准号:
    0806103
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $17.0万
  • 财政年份:
    2008
  • 负责人:
    Alexander Teplyaev
  • 依托单位:
Random, Stochastic, and Self-similar Equations
  • 批准号:
    0505622
  • 项目类别:
    Standard Grant
  • 资助金额:
    $0.0万
  • 财政年份:
    2005
  • 负责人:
    Alexander Teplyaev
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Intelligent Patent Analysis for Optimized Technology Stack Selection:Blockchain BusinessRegistry Case Demonstration
  • 批准号:
    --
  • 项目类别:
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  • 资助金额:
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    2024
  • 负责人:
    USHARANI HAREESH GOVINDARA JAN
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基于Meta-analysis的新疆棉花灌水增产模型研究
  • 批准号:
    41601604
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    22.0万元
  • 批准年份:
    2016
  • 负责人:
    赵爱琴
  • 依托单位:
大规模微阵列数据组的meta-analysis方法研究
  • 批准号:
    31100958
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    20.0万元
  • 批准年份:
    2011
  • 负责人:
    赵洪雅
  • 依托单位: