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Mathematical Sciences: Fast Spectral-Galerkin Algorithms for Elliptic Problems and Efficient Solution Techniques for Unsteady Navier-Stokes Equations

Mathematical Sciences: Fast Spectral-Galerkin Algorithms for Elliptic Problems and Efficient Solution Techniques for Unsteady Navier-Stokes Equations
数学科学:椭圆问题的快速谱伽辽金算法和非定常纳维-斯托克斯方程的高效求解技术
批准号:
9623020
负责人:
Jie Shen
金额:
$5.8万
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 1999-07-31

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中文摘要
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英文摘要
Shen 9623020 The investigator develops fast algorithms and robust software for elliptic problems and constructs, analyzes, and implements fast and accurate schemes for numerical simulation of unsteady incompressible flows. The numerical simulation of incompressible flows, which plays an important role in numerous scientific and industrial applications of current interest, is a challenging task for both numerical analysts and computational dynamicists. The proposed fast algorithms are based on the spectral discretization for the space variables and high-order projection schemes for the time variable. The proposed algorithms allow accurate numerical simulation of incompressible flows with significantly less computational effort than the traditional lower-order methods. Fast and accurate numerical solution of partial differential equations is of major importance in many fields of science and engineering, including among others high performance computing, turbulence modeling and numerical weather prediction. A main objective of this project is to develop fast algorithms with optimal computational complexity for a large class of elliptic equations, and to implement them in a high performance software package that is made available to the public through anonymous ftp and World Wide Web. It is expected that the proposed fast algorithms and software will become an important tool for many scientists and engineers.
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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:
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:
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:
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
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
SCIENCE CHINA Information Sciences