课题基金 / 基金详情

New Numerical Methods for Hamilton-Jacobi and Liouville Equations; Their Applications to Geometrical Optics, Wave Propagation and Travel-time Tomography

New Numerical Methods for Hamilton-Jacobi and Liouville Equations; Their Applications to Geometrical Optics, Wave Propagation and Travel-time Tomography
Hamilton-Jacobi 和 Liouville 方程的新数值方法;
批准号:
0542174
负责人:
Jianliang Qian
金额:
$9.1万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2005
资助国家:
美国
项目状态:
已结题
起止时间:
2005-08-01 至 2007-11-30

项目摘要

项目成果

Jianliang Qian的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
The investigator develops novel and efficient numericalmethods for Hamilton-Jacobi and Liouville equations. These equations arisefrom seismic wave propagation, geometrical optics, optimal control,travel-time tomography, medical imaging, computer vision, and materialsciences. His previous works on computing viscosity solutions andmultivalued solutions of Hamilton-Jacobi equations lead him to developmore powerful and efficient numerical methodsfor solving these equations and incorporate these new methodsinto seismic modeling and inversion, as well as other possibleapplications. Problems under consideration include continued developmentof adaptive eikonal solvers for three-dimensional isotropic andanisotropic media; fast sweeping methods for stationary Hamilton-Jacobiequations on unstructured meshes; extending slowness matching methods togeneral Hamilton-Jacobi equations for computing multivalued solutions; andapplications of paraxial Liouville equations for geometrical optics, wavepropagation and transmission tomography.This investigation advances the state-of-the-art in geometrical optics,wave propagation and seismic travel-time tomography.These fields and applications are of great strategic value in the US oiland gas industry, in environmental sciences, and in medical imaging.Recently, for example, the price of gasoline soared dramatically in theUnited States. One way to reduce the cost of production of oil involveslowering drilling costs by advancing the seismic data processingtechniques that oil companies use to find good drilling sites. Theinvestigator's new methods expedite routine data processing, provide newtools for exploration geophysicists to use for ground-breakingapplications, and enable substantial cost savings in seismic explorations,as the speed and reliability of the underlying computational engine allows``rig-site'' adjustments to both seismic survey and drilling decisions.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Innovative Butterfly-Compressed Microlocal Hadamard-Babich Integrators for Large-Scale High-Frequency Wave Modeling and Inversion in Variable Media
  • 批准号:
    2309534
  • 项目类别:
    Standard Grant
  • 资助金额:
    $29.0万
  • 财政年份:
    2023
  • 负责人:
    Jianliang Qian
  • 依托单位:
Collaborative: Novel Fast Microlocal, Domain-Decomposition Algorithms for High-Frequency Elastic Wave Modeling and Inversion in Variable Media
  • 批准号:
    2012046
  • 项目类别:
    Standard Grant
  • 资助金额:
    $21.5万
  • 财政年份:
    2020
  • 负责人:
    Jianliang Qian
  • 依托单位:
OP: Collaborative Research: Development of Advanced Image Reconstruction Methods for Pre-Clinical Applications of Photoacoustic Computed Tomographry
  • 批准号:
    1614566
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $32.0万
  • 财政年份:
    2016
  • 负责人:
    Jianliang Qian
  • 依托单位:
Fast Huygens Sweeping Methods for Large-Scale High Frequency Wave Propagation and Wave-Related Imaging Problems
  • 批准号:
    1522249
  • 项目类别:
    Standard Grant
  • 资助金额:
    $32.36万
  • 财政年份:
    2015
  • 负责人:
    Jianliang Qian
  • 依托单位:
海外基金