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

这笔赠款将支持美国的博士参与。 国际数值线性代数暑期学校（International Summer School on Numerical Linear Algebra，ISSNLA）ISSNLA将于2008年7月20日至25日在西班牙Castro Urdiales的国际数学会议中心（CIEM）举行。ISSNLA由SIAM线性代数活动组（SIAG/LA）组织。 当地组织由SIMUMAT（科穆尼达德马德里关于“科学和技术中的数学建模和数值模拟”的西班牙倡议）承担。ISSNLA的目标受众是需要数值线性代数的结果和方法的任何领域的博士生。 这些课程将是独立的，并在一个水平，是广泛的观众访问。他们将感兴趣的研究生和最近的博士学位。在科学和工程领域。讲师是领先的专家，他们也以其精湛的技能而闻名。 “国际数值线性代数暑期学校”的目的，是让博士生认识应用数学“数值线性代数”一个分支的最新发展及新应用。通过设计，暑期学校是前瞻性的：课程涵盖的主题太近，已被列入教科书或博士课程;这些主题包括信息检索和力学的应用。目标受众是科学和工程专业的博士生。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，因为它与科学计算的几乎每个领域都有联系。

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.