课题基金 / 基金详情

Fast Spectral-Galerkin Methods and their Applications

Fast Spectral-Galerkin Methods and their Applications
快速谱伽辽金方法及其应用
批准号:
0610646
负责人:
Jie Shen
金额:
$0.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-09-15 至 2010-08-31

项目摘要

项目成果

Jie Shen的其他基金

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中文摘要
翻译
随着计算机模拟在科学和工程的许多分支中发挥着越来越大的作用,并迅速取代了制造业和科学探索中许多昂贵的原型和测试阶段,快速而强大的数值方法正成为许多科学家和工程师不可或缺的工具。本项目的重点是设计快速和鲁棒的谱伽辽金方法来求解一类大的偏微分方程,并应用它们来研究当前感兴趣的几个重要问题。提出的研究将导致一类偏微分方程的快速和准确的数值算法,应用于声学和电磁散射,流体动力学和材料科学。预计所提出的数值算法将允许在合理的周转时间内模拟三维时间相关问题,并提供数字攻击新兴工程和科学应用中出现的具有挑战性的问题的能力。特别是,提出的数值模拟将有助于更好地理解复杂的物理和数学问题,并为先进材料的设计以及复杂流体的流变学和流体动力学特性提供有价值的信息。拟议的研究也将为本科生的研究项目创造机会,如软件开发、并行计算和数值模拟。
英文摘要
As computer simulations are playing an ever increasing role in manybranches of science and engineering and are rapidly replacing much ofthe expensive prototyping and testing phases in manufacturing and inscience explorations, fast and robust numerical methods are becomingan indispensable tool for many scientists and engineers. The focus ofthis project is to design fast and robust spectral-Galerkin methodsfor solving a large class of partial differential equations, and applythem to investigate several important problems of current interest.The proposed research will result in fast and accurate numericalalgorithms for a class of partial differential equations withapplications in acoustic and electromagnetic scattering, fluiddynamics and materials science. It is expected that the proposed numerical algorithms will allowsimulations of three-dimensional time-dependent problems within areasonable turn-over time, and provide capabilities to numericallyattack challenging problems arising from emerging engineering andscientific applications. In particular, the proposed numericalsimulations will contribute towards better understandings of thecomplex physical and mathematical problems, and provide valuableinformation for the design of advanced materials and on therheological and hydrodynamic properties of complex fluids. Theproposed research will also generate opportunities for undergraduateresearch projects such as software development, parallel computationand numerical simulation.
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CAREER: Robustness, Active Learning, Sparsity, and Fairness in Classification
  • 批准号:
    2239376
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $59.07万
  • 财政年份:
    2023
  • 负责人:
    Jie Shen
  • 依托单位:
Design and Analysis of Highly Efficient Algorithms for Complex Nonlinear Systems
  • 批准号:
    2012585
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $29.98万
  • 财政年份:
    2020
  • 负责人:
    Jie Shen
  • 依托单位:
CRII: III: Efficient and Robust Statistical Estimation from Nonlinear Compressed Measurements
  • 批准号:
    1948133
  • 项目类别:
    Standard Grant
  • 资助金额:
    $17.5万
  • 财政年份:
    2020
  • 负责人:
    Jie Shen
  • 依托单位:
International Conference on Current Trends and Challenges in Numerical Solution of Partial Differential Equations
  • 批准号:
    1722535
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.5万
  • 财政年份:
    2017
  • 负责人:
    Jie Shen
  • 依托单位:
国内基金
海外基金
一种新型的PET/spectral-CT/CT三模态图像引导的小动物放射治疗平台的设计与关键技术研究
  • 批准号:
    LTGY23H220001
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2023
  • 负责人:
    王慧
  • 依托单位:
关于spectral集和spectral拓扑若干问题研究
  • 批准号:
    11661057
  • 项目类别:
    地区科学基金项目
  • 资助金额:
    36.0万元
  • 批准年份:
    2016
  • 负责人:
    徐晓泉
  • 依托单位:
S3AGA样本(Spitzer-SDSS Spectral Atlas of Galaxies and AGNs)及其AGN研究
  • 批准号:
    11473055
  • 项目类别:
    面上项目
  • 资助金额:
    95.0万元
  • 批准年份:
    2014
  • 负责人:
    郝蕾
  • 依托单位: