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.

本次NSF-CBMS数学科学区域会议将于2002年6月3日至7日在科罗拉多矿业学院数学与计算机科学系举行，主题为“正反电磁散射数值方法”。首席讲师将是特拉华大学数学科学系的彼得·蒙克教授。他的十堂课的主题是麦克斯韦方程组及其解法。这个经典的话题今天仍然提供了许多挑战，特别是随着近年来解决麦克斯韦方程组的需求迅速增加，包括电磁兼容性测试（确保不同的组件，如汽车发电机和电子控制单元不会相互干扰）和安全性（例如预测手机对用户的影响），以及熟悉的应用，如雷达。涵盖的主题将包括：腔问题的变分方法；有限元及其在空腔问题中的应用有限元与边界积分方程的耦合；完美匹配的层次；自适应方法;以及障碍物定位等各种反问题的求解方法。