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Conference: North American High Order Methods Con (NAHOMCon)

Conference: North American High Order Methods Con (NAHOMCon)
会议:北美高阶方法大会 (NAHOMCon)
批准号:
2333724
负责人:
Anne Gelb
金额:
$3.0万
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:
未结题
起止时间:
2024-03-01 至 2025-02-28

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中文摘要
翻译
北美高阶方法会议系列(NAHOMCon)于2024年6月17日至19日在新罕布什尔州汉诺威的达特茅斯学院举行。本次会议汇集了研究人员和从业人员,他们对高阶方法的理论,计算和应用方面感兴趣,这些方法用于解决影响生物学,气候研究,地球科学,工程学,地质学和医学中日益多样化和重要的问题的微分方程。 会议吸引了代表数学科学和工程的所有职业阶段的广泛研究人员,以及来自多个工业和政府社区的从业人员,使与会者能够从各个应用领域的专家那里获得新的见解和观点。 会议形式包括邀请演讲者以及提交的贡献,以鼓励广泛参与,特别是年轻科学家和代表不足的少数群体。 会议将与新英格兰数值分析日(NENAD)一起举行,该日为当地大学的教师和学生提供了召集和讨论数值分析新研究趋势的机会,并使新英格兰许多较小机构的人员能够建立未来的合作伙伴。高阶和谱方法的计算和应用方面的微分方程的解决方案,影响日益多样化和重要的应用。会议的主题包括,但不限于,高阶有限差分方法,p-和h-p型有限元方法,间断伽辽金方法,谱方法,高效的求解器和预处理器,高效的时间步进方法,以及现代硬件环境的计算方面。还将强调数据驱动模型背景下的高阶方法,包括机器学习和数据同化方法。 会议的形式包括邀请提交的论文以及提交的文稿,以鼓励更广泛的参与,特别是青年科学家和代表人数不足的少数群体的参与。计划举行两次职业发展小组讨论。 第一个将针对对研究生院感兴趣的本科生,而第二个将侧重于工业职业。会议网站是https://math.dartmouth.edu/~nahomcon2024/This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
The North American High Order Methods conference series (NAHOMCon) is held June 17-19, 2024 at Dartmouth College in Hanover, New Hampshire. This conference brings together researchers and practitioners with an interest in the theoretical, computational and applied aspects of high-order methods for the solution of differential equations impacting increasingly diverse and important problems in biology, climate studies, earth science, engineering, geology and medicine. The conference engages a broad group of researchers at all career stages representing the mathematical sciences and engineering, as well as practitioners from multiple industrial and government communities, allowing participants to gain new insights and perspectives from experts in various application domains. The conference format includes both invited speakers as well as submitted contributions to encourage broad participation especially from young scientists and under-represented minorities. The conference will be held in conjunction with the New England Numerical Analysis Day (NENAD), which provides the opportunity for faculty and students from local universities to convene and discuss new research trends in numerical analysis, and enable people from the many smaller institutions in New England to establish future collaborative partners.This conference brings together researchers and practitioners with an interest in the theoretical, computational and applied aspects of high-order and spectral methods for the solution of differential equations impacting increasingly diverse and important applications. Subjects of the meeting include, but are not limited to, high-order finite difference methods, p- and h-p type finite element methods, discontinuous Galerkin methods, spectral methods, efficient solvers and preconditioners, efficient time-stepping method, and computational aspects for modern hardware environments. There will also be an emphasis on high order methods in the context of data-driven models, including machine learning and data assimilation approaches. The format of the meeting includes both invited papers as well as submitted contributions in order to encourage wider participation especially from young scientists and under-represented minorities. Two career development panel discussions are scheduled. The first will be aimed at undergraduates who are interested in graduate school, while the second will focus on careers in industry. The conference website is https://math.dartmouth.edu/~nahomcon2024/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.
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会议论文
Collaborative Research: Accurate, Efficient and Robust Computational Algorithms for Detecting Changes in a Scene Given Indirect Data
  • 批准号:
    1912685
  • 项目类别:
    Standard Grant
  • 资助金额:
    $14.0万
  • 财政年份:
    2019
  • 负责人:
    Anne Gelb
  • 依托单位:
Collaborative Research: An Integrated Approach to Convex Optimization Algorithms
  • 批准号:
    1732434
  • 项目类别:
    Standard Grant
  • 资助金额:
    $2.77万
  • 财政年份:
    2016
  • 负责人:
    Anne Gelb
  • 依托单位:
Collaborative Research: An Integrated Approach to Convex Optimization Algorithms
  • 批准号:
    1521600
  • 项目类别:
    Standard Grant
  • 资助金额:
    $2.77万
  • 财政年份:
    2015
  • 负责人:
    Anne Gelb
  • 依托单位:
Novel Numerical Approximation Techniques for Non-Standard Sampling Regimes
  • 批准号:
    1216559
  • 项目类别:
    Standard Grant
  • 资助金额:
    $33.69万
  • 财政年份:
    2012
  • 负责人:
    Anne Gelb
  • 依托单位:
海外基金