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U.S.- France Cooperative Research: Multiresolution and Multiscale Algorithms on Unstructured Meshes for Computational Sciences

U.S.- France Cooperative Research: Multiresolution and Multiscale Algorithms on Unstructured Meshes for Computational Sciences
美法合作研究:计算科学非结构化网格的多分辨率和多尺度算法
批准号:
0072863
负责人:
Tony Chan
金额:
$4.5万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2000
资助国家:
美国
项目状态:
已结题
起止时间:
2000-07-01 至 2005-06-30

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中文摘要
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英文摘要
0072863ChanThis three-year award for U.S.-France cooperative research in advanced computational research involves Tony Chan of the University of California at Los Angeles, Tim Barth of the Information Sciences Directorate, NASA Ames, Herve Guillard of the French National Institute for Research in Computer Science and Engineering (INRIA) in Sophia Antipolis and Remi Abgrall of the University of Bordeaux. The research collaboration is aimed at the development and analysis of discretization methods and solvers based on multiscale and multiresolution algorithms; efficient implementation of the new discretization and solvers on advanced computing architectures; and applications to computational fluid dynamics and structural mechanics. This award represents the U.S. side of a joint proposal to the NSF and the French National Institute for Research in Computer Science and Engineering (INRIA). NSF will cover travel funds and living expenses of the U.S. investigators, postdoctoral researchers and graduate students. INRIA will support the French researchers' visits to the United States. The collaboration is interdisciplinary. The US investigators are expert in the theory and analysis of multigrid methods for both elliptic and hyperbolic problems. This is complemented by French expertise in computational fluid dynamics and on multiresolutional algorithms for hyperbolic problems. The project will advance understanding of the proposed methods and algorithms and their applications to problems in particle physics, fluid dynamics, and cosmology.
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Variational PDE Models and Computational Methods in Image Processing
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