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Mathematical Sciences: High Order Accurate Numerical Methods for Interface Problems

Mathematical Sciences: High Order Accurate Numerical Methods for Interface Problems
数学科学:接口问题的高阶精确数值方法
批准号:
9626703
负责人:
Stanley Osher
金额:
$6.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1996
资助国家:
美国
项目状态:
已结题
起止时间:
1996-08-15 至 2000-07-31

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中文摘要
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英文摘要
Osher 9626703 Many physical problems involve interfaces where two different materials contact with each other, or singular sources or dipoles are present along the interfaces immersed in the same fluid. Mathematically, interface problems usually lead to differential equations whose input data and solutions have discontinuities or non-smoothness across interfaces. Many numerical methods designed for smooth solutions do not work efficiently for interface problems. The investigator's colleague Zhilin Li combines the immersed interface method, a second order method for solving differential equations involving interfaces, with the level set approach, an efficient method for capturing moving fronts, to develop high order accurate and efficient numerical methods for interface problems. The project develops convergence and stability theory to provide theoretical justification for the proposed methods. Several specific interface problems, including elliptic and parabolic equations with fixed or moving interfaces, Hele-Shaw flow, and other applications, are studied in depth. Many important practical problems lead to differential equations in regions of 2- or 3-dimensional space that are geometrically complicated, and that contain interfaces across which the nature of the solution changes. These equations can rarely be solved exactly, and large-scale computation is required to obtain well-resolved solutions over multi-dimensional regions. The goal of this work is to develop efficient computational methods to approximate solutions of such problems. The approach is to combine two different methods with complementary strengths. To test the new method, it is applied to several problems representative of those with arising in practical applications.
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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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