Sixth International Workshop on Accurate Solution of Eigenvalue Problems
Sixth International Workshop on Accurate Solution of Eigenvalue Problems
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
中文摘要
第六届本征值问题精确解国际研讨会(IWASEP VI)将汇集本征值和奇异值问题数值解方面的领先研究人员。IWASEP会议有一个强大的历史研究演示在扰动理论和算法的对称特征值问题,非对称特征值问题,奇异值问题,最近,多项式特征值问题。研讨会的形式旨在促进互动,使该领域的领先研究可见,并刺激新的研究。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,因此研讨会将促进一个重要和智力深度领域的研究。特征值和奇异值软件是许多工程学科软件的核心。许多结构稳定性的计算机模拟代码(例如建筑物、桥梁或塔)和流体流动代码(用于气体动力学或天气预测)都依赖于特征值软件。Google网页在其网页排名软件(一种常用的网页浏览工具)中解决了一个特征值问题。奇异值分解是人脸识别在视觉(机场安全)、数据挖掘(以简洁可理解的方式解释大量信息)和图像压缩(减少图像或视频的存储,以便它可以更快地通过互联网传输)中的应用的计算基础。 该提案的资助将帮助研究生,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很重要。
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
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依托单位:
海外基金