课题基金 / 基金详情

Development, Analysis and Applications for Numerical Methodsfor Nonlinear Partial Differential Equations

Development, Analysis and Applications for Numerical Methodsfor Nonlinear Partial Differential Equations
非线性偏微分方程数值方法的发展、分析与应用
批准号:
9103104
负责人:
Stanley Osher
金额:
$30.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
1991
资助国家:
美国
项目状态:
已结题
起止时间:
1991-07-15 至 1995-06-30

项目摘要

项目成果

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中文摘要
翻译
Osher、Engquist等教授将继续各自和共同研究非线性偏微分方程数值方法的发展、分析和应用。具体研究方法包括:本质上是非振荡激波捕获技术,前沿捕获算法,多分辨率和基于小波的方法,数值均匀化,有效边界条件,动力学模型,光谱和粘度方法,粒子方法,随机差分法。需要研究的工程和物理应用包括:高速飞行器的空气动力学特性、流体动力学装置模型、多孔介质中的混流、燃烧、反应气体流动、激波湍流相互作用、微波散射、玻尔兹曼方程、核聚变反应堆和堆芯环流。这一范围广泛的活动在其本身和广泛应用方面都具有价值。
英文摘要
Professors Osher, Engquist, and others will continue their individual and joint research on the development analysis and applications of numerical methods for nonlinear partial differential equations. Specific methods to be studied include: essentially nonoscillatory shock capturing techniques, front capturing algorithms, multiresolution and wavelet based methods, numerical homogenization, effective boundary conditions, kinetic models, spectral and viscosity methods, particle methods, and stochastic difference methods. Engineering and physical applications to be studied include: aerodynamical properties of high speed vehicles, hydrodynamic device models, miscible flow in porous media, combustion, reacting gas flows, shock turbulence interactions, microwave scattering, Boltzmann equations, nuclear fusion reactors, and core-annular flows. This broad range of activity has value both in its own right and with regard to extensive applications.
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会议论文
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
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Algorithms for Threat Detection in Sensor Systems for Analyzing Chemical and Biological Systems Based on Compressive Sensing and L1 Related Optimization
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    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
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    2009
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    Stanley Osher
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Nonlocal Variational Processing of Image Albums
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    0714087
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    Continuing Grant
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  • 财政年份:
    2007
  • 负责人:
    Stanley Osher
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国内基金
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大规模微阵列数据组的meta-analysis方法研究
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    赵洪雅
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