Special Meeting at Copper Mountain on Multigrid and Iterative Methods

该项目为期三年，旨在支持参与2010年和2012年关于迭代方法的铜山会议以及2011年关于多重网格方法的铜山会议。该奖项的资金专门用于支持学生，妇女和少数民族科学家的参与。铜山会议的研究生占与会者的很大一部分（通常为30%-40%），其中许多人是共同撰写论文并发表演讲的正式参与者。妇女和少数民族在与会者中所占的比例越来越大（例如，2008年参加的49名学生中有27名是妇女）;该奖项的资助旨在进一步提高她们的比例。该奖项对学生、妇女和少数民族科学家的支持是以降低注册费、旅行支持和补贴食宿的形式提供的。这笔资金还支持“学生论文竞赛”，该竞赛从学生参加者的很大一部分中抽取参赛作品，并在学生的指导下与他们的教师顾问合作并在他们的指导下撰写关于科学发现的高质量论文。这些成果，就像会议作为一个整体，跨越广泛和重要的理论和应用领域，如收敛分析技术，数学软件的实现和开发，以及在新的环境中使用这些想法，包括先进的计算机架构和新的应用，如不确定性量化。铜山会议系列可以说是两个密切相关的数学领域的首要会议：迭代和多重网格方法。这两个领域提供了计算支持的数值模拟的一个非常广泛的主机的努力，包括环境和能源研究，医学和生物应用，以及许多其他领域的关键，美国。S.国际科学和工程界。该奖项支持学生，妇女和少数民族科学家参加这些会议。会议？传统上致力于通过促进发展和培养一批有能力的研究生和入门级科学家来确保迭代和多重网格方法领域的未来活力。通过其平等主义的结构，没有受邀演讲者，所有会谈的长度相等，会议为年轻人提供了在轻松但科学严谨的环境中相互见面和所有参与者的机制;这些机制包括专题辅导，主题晚间研讨会，以及来自学术界，国家实验室和工业界的广泛代表性参与者。会议有一个非常高的学生参与水平的传统（通常30-40%的与会者），并将通过支持学生的本地和旅行费用培养这一点。重点是通过支持妇女和少数民族科学家来促进多样性。这些会议将世界聚集在一起？的领先从业者在这些关键领域，并导致高水平的出版物，有效的应用程序代码，并建立长期的合作研究伙伴关系。

This project is a three-year effort to support participation in the 2010 and 2012 Copper Mountain Conferences on Iterative Methods and the 2011 Copper Mountain Conference on Multigrid Methods. The funding in this award is specifically intended to support the participation of students, women, and minority scientists. The Copper Mountain Conferences have graduate students forming a very large fraction of the attendees (typically 30%-40%), many of them full participants who co-author papers and give presentations. Women and minorities are growing fractions of the attendees (e.g., 27 of 49 students participating in 2008 were women); this award funding is targeted to further enhance their proportions. Support for the students, women, and minority scientists from this award is in the form of reduced registration fees, travel support, and subsidized meals and lodging. The funding also supports a "Student Paper Competition", which draws entries from a significant fraction of the student attendees and results in extraordinarily high-quality papers on scientific discovery from the students, working in tandem with and under the guidance of their faculty advisors. These results, like the conferences as a whole, span wideranging and important theoretical and applications areas, such as techniques of convergence analysis, implementation and development of mathematical software, and use of such ideas in novel settings, including advanced computer architectures and new applications such as uncertainty quantification.The Copper Mountain Conference series form arguably the premier conferences in two closely related mathematical fields: iterative and multigrid methods. These two fields provide computational support for numerical simulation of a very wide host of endeavors, including environmental and energy research, medical and biological applications, and many other areas critical to the U. S. and international science and engineering community. This award supports the participation of students, women, and minority scientists at those Conferences. The Conferences? traditionally work to ensure the future vitality of the fields of iterative and multigrid methods by facilitating development and nurturing of a community of capable graduate students and entry-level scientists. Through their egalitarian structure, with no invited speakers and all talks of equal length, the Conferences provide mechanisms for young people to meet each other and all participants in a relaxed yet scientifically rigorous setting; these mechanisms include topical tutorials, themed evening workshops, and access to the broad representation of participants from academia, national laboratories, and industry. The Conferences have a tradition of a very high level of student participation (typically 30-40% of attendees), and will cultivate this through supporting students' local and travel expenses. An emphasis is placed on engendering diversity through support of women and minority scientists. These conferences bring together the world?s leading practitioners in these critical fields and result in high-level publications, effective applications codes, and the establishment of longterm collaborative research partnerships.