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Mathematical Sciences: Development, Analysis, and Applications for Numerical Methods for Nonlinear Partial Differential Equations

Mathematical Sciences: Development, Analysis, and Applications for Numerical Methods for Nonlinear Partial Differential Equations
数学科学:非线性偏微分方程数值方法的发展、分析和应用
批准号:
9404942
负责人:
Stanley Osher
金额:
$37.5万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
1994
资助国家:
美国
项目状态:
已结题
起止时间:
1994-07-01 至 1998-06-30

项目摘要

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中文摘要
翻译
主要研究人员及其合作者研究非线性偏微分方程数值方法的发展、分析和应用。主要包括:(1)高分辨率方法,包括激波捕捉、前沿捕捉、数值均匀化和质点方法;(2)多尺度分析在这些问题和其他相关问题中的应用;(3)基于多尺度分析和高频渐近的线性发展方程的快速方法。所研究的工程和物理应用包括燃烧、流体动力学、晶体生长、斯特凡问题、微波散射和反应气体。这些创新的数值方法被用来模拟航空、石油开采、材料科学和环境科学领域的现实世界问题。在上述领域,以及在低可观测性、半导体器件建模和形状识别方面,已经过渡到工业和军事应用。这些方法适用于所要研究的现象具有状态变量的急剧变化或超出标准方法的解决能力的地方。
英文摘要
The principal investigators and their collaborators study the development, analysis, and applications of numerical methods for nonlinear partial differential equations. The three main topics addressed are: (1) high resolution methods, including shock capturing, front capturing, numerical homogenization, and particle methods, (2) multiscale analysis applied to these and other related problems, and (3) fast methods for linear evolution equations based on multiscale analysis and high frequency asymptotics. Engineering and physical applications studied include combustion, fluid dynamics, crystal growth, Stefan problems, microwave scattering, and reacting gases. These innovative numerical methods are used to simulate real world problems in the areas of aeronautics, oil recovery, materials science, and environmental science. Transition to industrial and military application is made in the above areas, as well as in low observables, semiconductor device modelling, and shape recognition. These methods are applicable wherever the phenomena to be studied have sharp changes of state variables or are beyond the resolving capabilities of standard methods.
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Collaborative Research: Algorithms, Theory, and Validation of Deep Graph Learning with Limited Supervision: A Continuous Perspective
  • 批准号:
    2208272
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $28.0万
  • 财政年份:
    2022
  • 负责人:
    Stanley Osher
  • 依托单位:
Algorithms for Threat Detection in Sensor Systems for Analyzing Chemical and Biological Systems Based on Compressive Sensing and L1 Related Optimization
  • 批准号:
    1118971
  • 项目类别:
    Standard Grant
  • 资助金额:
    $119.87万
  • 财政年份:
    2011
  • 负责人:
    Stanley Osher
  • 依托单位:
Collaborative Research: ATD (Algorithms for Threat Detection): Inverse Problems Methods in Chemical Threat Detection
  • 批准号:
    0914561
  • 项目类别:
    Standard Grant
  • 资助金额:
    $29.34万
  • 财政年份:
    2009
  • 负责人:
    Stanley Osher
  • 依托单位:
Nonlocal Variational Processing of Image Albums
  • 批准号:
    0714087
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $0.0万
  • 财政年份:
    2007
  • 负责人:
    Stanley Osher
  • 依托单位:
国内基金
海外基金
Handbook of the Mathematics of the Arts and Sciences的中文翻译
  • 批准号:
    12226504
  • 项目类别:
    数学天元基金项目
  • 资助金额:
    20.0万元
  • 批准年份:
    2022
  • 负责人:
    黄朝凌
  • 依托单位:
SCIENCE CHINA: Earth Sciences
Journal of Environmental Sciences
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