Student and early career support for ISSNLA, July 20-25, 2008, Castro Urdiales, Spain

这笔赠款将支持美国博士生参加国际数值线性代数暑期学校(ISSNLA)。ISSNLA将于2008年7月20日至25日在西班牙卡斯特罗·乌尔代莱斯的国际数学会议中心(CIEM)举行。ISSNLA由SIAM线性代数活动小组(SIAG/LA)组织。当地组织由SIMUMAT(西班牙马德里委员会关于科学和技术中的数学建模和数值模拟的倡议)担任。ISSNLA的目标受众是任何需要数值线性代数的结果和方法的领域的博士生。这些课程将是自给自足的，并在一个广泛的受众可以理解的水平上授课。研究生和新近攻读科学与工程专业博士S的学生将会对这些课程感兴趣。讲师是顶尖的专家，他们的讲解技巧也是众所周知的。“国际数值线性代数暑期学校”的目的是让博士生了解应用数学中一个叫做“数值线性代数”的子领域的最新发展和新的应用。从设计上看，暑期班是前瞻性的：课程涵盖的主题太新，不包括在教科书或博士课程中；这些主题包括信息检索和力学的应用。目标受众是理工科博士生。NSF对美国参与者的支持，将对美国在这一关键学科的持续强大竞争力产生积极影响，因为它几乎与科学计算的每一个领域都有联系。

This grant will support the participation of US-based Ph.D. students at the International Summer School on Numerical Linear Algebra (ISSNLA). The ISSNLA will take place at the International Center of Mathematical Meetings (CIEM) in Castro Urdiales, Spain on 20-25 July 2008. The ISSNLA is organized by the SIAM Activity Group on Linear Algebra (SIAG/LA). The local organization is assumed by SIMUMAT (the Spanish initiative from the Comunidad de Madrid on ``Mathematical Modeling and Numerical Simulation in Science and Technology"). The target audience of the ISSNLA are doctoral students in any field that requires results and methods from Numerical Linear Algebra. The courses will be self contained, and taught at a level that is accessible to a wide audience. They will be of interest to graduate students and recent Ph.D.'s in science and engineering. The lecturers are leading experts who are also well known for their expository skills. They were chosen by an Advisory Committee composed by leading international scientists.The purpose of the "International Summer School on Numerical Linear Algebra" is to acquaint doctoral students with recent developments and novel applications in a subfield of Applied Mathematics called "Numerical Linear Algebra". By design, the summer school is forward-looking: the courses cover topics that are too recent to have been included in textbooks or doctoral courses; these topics include applications to information retrieval and mechanics. The target audience are doctoral students in science and engineering. NSF support for US-based participants will have a positive impact on the continued strong competitiveness of the US in this crucial discipline, with its connections to virtually every area of scientific computing.