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Sixth International Workshop on Accurate Solution of Eigenvalue Problems

Sixth International Workshop on Accurate Solution of Eigenvalue Problems
第六届特征值问题精确求解国际研讨会
批准号:
0539097
负责人:
Jesse Barlow
金额:
$1.5万
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:
2005-11-01 至 2006-10-31

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中文摘要
翻译
第六届特征值问题精确解国际研讨会(IWASEP VI)将汇集特征值和奇异值问题数值解的主要研究人员。IWASEP会议在摄动理论和对称特征值问题、非对称特征值问题、奇异值问题以及最近的多项式特征值问题的算法方面有很强的研究报告历史。研讨会的形式旨在促进互动,使该领域的领先研究可见,并激发新的研究。特征值和奇异值计算一直是数值线性代数和数值分析中的一个重要领域,因此研讨会将刺激在一个重要的和智力深的领域的研究。特征值和奇异值软件在许多工程学科中处于软件的核心地位。许多用于结构(如建筑物、桥梁或塔)稳定性的计算机模拟代码,以及用于气体动力学或天气预报的流体流动代码,都依赖于特征值软件。b谷歌网页解决了其网页排名软件(一种常用的网页浏览工具)内部的特征值问题。奇异值分解是视觉(机场安检)、数据挖掘(以简明易懂的方式解释大量信息)和图像压缩(减少图像或视频的存储空间,以便在互联网上更快地传输)等人脸识别应用的计算基础。该提案的资金将帮助研究生,博士后研究人员和新的大学教师参加IWASEP VI;对研究生和博士后研究人员的教育产生影响,对整个美国的大学课堂产生间接影响,并进一步发展我们对科学计算领域的理解,这在许多实际工程问题中是重要的。
英文摘要
The Sixth International Workshop on Accurate Solution of Eigenvalue Problems (IWASEP VI) will bring together leading researchers in the numerical solution of eigenvalue and singular value problems. The IWASEP meetings have a strong history of research presenations in perturbation theory and algorithms for the symmetric eigenvalue problem, the nonsymmetric eigenvalue problem, singular value problems, and, more recently, polynomial eigenvalue problems. The format of the workshop is designed to facilitate interaction, give visibility to leading research in the field, and stimulate new research. Eigenvalue and singular value computation has always been an important area within numerical linear algebra and numerical analysis, thus the workshop will stimulate research in an important and intellectually deep field.Eigenvalue and singular value software is at the core of software in many engineering disciplines. Many computer similation codes for the stability of a structure (e.g. a building, bridge, or tower), and fluid flow codes (for gas dynamics or weather prediction) rely upon eigenvalue software. The Google web page solves an eigenvalue problem inside its page rank software, a commonly used web browsing tool. The singular value decomposition is the basis of computations in face recognition applications in vision (for security at airports), data mining (interpreting large volume of information in a concise understandable manner), and image compression (reducing the storage for an image or video so that it can be transmitted more quickly over the internet).. The funding of this proposal will help graduate students, post doctoral researchers, and new university faculty to attend IWASEP VI; having an impact on education of the graduate students and post doctoral researchers, having an indirect impact in university classrooms throughout the U.S., and further developing our understanding of a field of scientific computation that is important in many practical engineering problems.
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会议论文
AF: Small: New and Improved Algorithms for Minimization and Subspace Tracking
16th Householder Symposium on Numerical Linear Algebra; Champion, PA; May 23-27, 2005
Efficient Computational Methods for Robust Multispectral Multiframe Superresolution
International Workshop on accurate Solution of Eigenvalue Problems, July 20-23, l998, Penn Stater Conference Center Hotel, University Park, PA
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