The Midwest Numerical Analysis Day
中西部数值分析日
基本信息
- 批准号:1747624
- 负责人:
- 金额:$ 0.72万
- 依托单位:
- 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
- 起止时间:2018-04-01 至 2022-03-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This award provides support for 24 regional participants to attend "The Midwest Numerical Analysis Day", which will be held on April 14 to 15, 2018, on the campus of the University of Kansas, in Lawrence, Kansas. Funds will provide support for women, underrepresented minorities, and young participants (graduate students, postdoctoral fellows, and junior faculty). Scientific computing is a rapidly growing multidisciplinary field and has become a common tool for using advanced computing capabilities to construct mathematical models for complex problems, to develop quantitative analysis techniques, and to understand and solve the scientific problems arising from different disciplines. Numerical analysis is the core of scientific computing, an area that develops and studies algorithms of obtaining the numerical solutions of the mathematical models of real world problems. With the increasing power of modern computers, large scale and complex simulations become possible, which in turn requires collaboration among numerical analysts, algorithm designers, and exports in applied sciences and engineering. Such an interdisciplinary collaboration has increased significantly and become a new norm in last decades.This conference will bring groups of researchers in mathematics and applied sciences and engineering who are interested in scientific computation and related applications. It will facilitate a transfer of knowledge among different disciplines and promote the collaborations. The conference will provide an excellent opportunity for regional researchers in all stages of their careers, especially for young faculty members, postdocs, and graduate students, to present their research results, have the opportunities to exchange the ideas with people from different disciplines, and gain experience and improve their skills in communication and presentation. Moreover, the conference will invite, encourage, and support people from underrepresented groups.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.
该奖项为24名地区参与者提供支持,以参加将于2018年4月14日至15日在堪萨斯州劳伦斯市堪萨斯大学校园举行的“中西部数值分析日”。基金将为妇女、代表性不足的少数群体和年轻参与者(研究生、博士后研究员和初级教员)提供支持。科学计算是一个迅速发展的多学科领域,已成为利用先进的计算能力为复杂问题构建数学模型、开发定量分析技术以及理解和解决不同学科产生的科学问题的常用工具。数值分析是科学计算的核心,这是一个开发和研究获得现实世界问题数学模型的数值解的算法的领域。随着现代计算机能力的不断增强,大规模和复杂的模拟成为可能,这反过来又需要数值分析人员、算法设计师以及应用科学和工程领域的出口商之间的合作。在过去的几十年里,这种跨学科的合作显著增加,并成为一种新的规范。这次会议将带来一批对科学计算和相关应用感兴趣的数学、应用科学和工程领域的研究人员。它将促进不同学科之间的知识转移,促进合作。会议将为处于职业生涯各个阶段的地区研究人员提供一个极好的机会,特别是年轻的教职员工、博士后和研究生,展示他们的研究成果,有机会与不同学科的人交流思想,获得经验,提高他们的沟通和陈述技能。此外,大会将邀请、鼓励和支持来自代表性不足群体的人。这一奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Xuemin Tu其他文献
A three-level BDDC algorithm for a saddle point problem
- DOI:
10.1007/s00211-011-0375-2 - 发表时间:
2008-12 - 期刊:
- 影响因子:2.1
- 作者:
Xuemin Tu - 通讯作者:
Xuemin Tu
Sampling, feasibility, and priors in Bayesian estimation
贝叶斯估计中的抽样、可行性和先验
- DOI:
- 发表时间:
2015 - 期刊:
- 影响因子:0
- 作者:
A. Chorin;F. Lu;Robert N. Miller;M. Morzfeld;Xuemin Tu - 通讯作者:
Xuemin Tu
A survey of implicit particle filters for data assimilation
用于数据同化的隐式粒子滤波器综述
- DOI:
- 发表时间:
2013 - 期刊:
- 影响因子:0
- 作者:
A. Chorin;M. Morzfeld;Xuemin Tu - 通讯作者:
Xuemin Tu
A BDDC ALGORITHM FOR A MIXED FORMULATION OF FLOW IN POROUS MEDIA
- DOI:
- 发表时间:
2005 - 期刊:
- 影响因子:0
- 作者:
Xuemin Tu - 通讯作者:
Xuemin Tu
Xuemin Tu的其他文献
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{{ truncateString('Xuemin Tu', 18)}}的其他基金
Collaborative Research: Adaptive Data Assimilation for Nonlinear, Non-Gaussian, and High-Dimensional Combustion Problems on Supercomputers
合作研究:超级计算机上非线性、非高斯和高维燃烧问题的自适应数据同化
- 批准号:
1723066 - 财政年份:2017
- 资助金额:
$ 0.72万 - 项目类别:
Standard Grant
Implicit sampling methods and their applications
隐式抽样方法及其应用
- 批准号:
1419069 - 财政年份:2014
- 资助金额:
$ 0.72万 - 项目类别:
Continuing Grant
Numerical methods for linear and nonlinear implicit PDE simulation ---- Domain Decomposition and Nonlinear Multigrid Methods
线性和非线性隐式PDE模拟的数值方法----域分解和非线性多重网格方法
- 批准号:
1115759 - 财政年份:2011
- 资助金额:
$ 0.72万 - 项目类别:
Standard Grant
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