NSF/CBMS Regional Conference in the Mathematical Sciences - "Numerical Methods in Forward and Inverse Electromagnetic Scattering" - June 3-7, 2002

NSF/CBMS 数学科学区域会议 - “正向和逆向电磁散射的数值方法” - 2002 年 6 月 3-7 日

• 批准号: 0121301
• 负责人: Paul Martin
• 金额: $ 2.75万
• 依托单位: Colorado School of Mines
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-11-15 至 2002-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0121301&HistoricalAwards=false
• 关键词: NSF; CBMS; Regional; Conference; Mathematical

This NSF-CBMS Regional Conference in the Mathematical Sciences on `Numerical Methods in Forward and Inverse Electromagnetic Scattering' at the Department of Mathematical and Computer Sciences, Colorado School of Mines will be held June 3 to June 7, 2002. The principal lecturer will be Professor Peter Monk of the Department of Mathematical Sciences at the University of Delaware. The theme of his ten lectures will be Maxwell's equations, and methods for their solution. This classical topic still offers many challenges today,especially as the need to solve Maxwell's equations has increased rapidly in recent years with applications including electromagnetic compatibility testing (to ensure different components like a car generator andelectronic control unit do not interfere with one another) and safety (for example predicting the effects of cell phones on users), as well as familiar applications such as radar. Topics covered will include: variational methods for cavity problems; finite elements and their application to cavity problems; coupling between finite elements and boundary integral equations; perfectly matched layers; adaptive methods; and methods for solving various inverse problems, such as locating obstacles.

这次NSF-CBMS数学科学区域会议将于2002年6月3日至6月7日在科罗拉多矿业学院数学和计算机科学系举行，主题为“电磁正反向散射的数值方法”。首席讲师将是特拉华大学数学科学系的彼得·蒙克教授。他十次演讲的主题将是麦克斯韦方程及其求解方法。这一经典课题在今天仍然面临许多挑战，特别是近年来随着电磁兼容性测试(以确保汽车发电机和电子控制单元等不同部件之间不会相互干扰)、安全性(例如预测手机对用户的影响)以及熟悉的应用(如雷达)等应用，人们对求解Maxwell方程的需求迅速增加。课程内容包括：空穴问题的变分方法；有限元及其在空穴问题中的应用；有限元与边界积分方程式之间的耦合；完全匹配层；自适应方法；以及解决各种反问题的方法，如定位障碍物。