Midwest Numerical Analysis Day 2020

该奖项支持早期职业研究人员参加2020年9月25日至26日在密苏里州科技大学罗拉分校举行的年度会议“中西部数值分析日”。自20世纪90年代以来，中西部数值分析日为中西部地区的计算数学家提供了一个论坛，分享他们对数值方法及其分析的研究。由于许多工程师将参加2020年中西部数值分析日，本次会议将为计算科学家和工程师提供一个重要的平台，就各种数值方法的最新发展，分析和应用进行交流，并为未来的合作找到共同利益。中西部数值分析日也作为一个年度区域会议，为研究生和博士后提供一个机会，介绍他们对数值方法的研究。本次会议的主题集中在算法开发，分析和高效，准确和稳定的数值方法的应用，特别是那些解决多物理场和多尺度问题。近年来，许多复杂和具有挑战性的现实世界问题的固有的多物理场和多尺度特征突出了发展相关偏微分方程的更有效，更准确，更稳定的数值方法的重要性。为了满足这些需求，2020年中西部数值分析日旨在为来自不同领域的早期职业和高级研究人员创建一个论坛，包括计算数学，计算机科学，物理学和各种工程领域，讨论相关数值方法的最新进展，以及相应的数值分析和应用。该奖项反映了NSF的法定使命，并被认为值得支持通过使用基金会的知识价值和更广泛的影响审查标准进行评估。

This award supports participation of early-career researchers in the annual conference "The Midwest Numerical Analysis Day" held at the campus of Missouri University of Science and Technology, Rolla, MO, on September 25-26, 2020. The Midwest Numerical Analysis Day has provided a forum since the 1990s for computational mathematicians in the Midwest area to share their research on numerical methods and their analysis. Since many engineers will participate in the Midwest Numerical Analysis Day 2020, this conference will provide an important platform for computational scientists and engineers to communicate with each other on recent development, analysis, and applications of various numerical methods, and find common interests for future collaborations. The Midwest Numerical Analysis Day has also served as a yearly regional conference to provide an opportunity for graduate students and postdocs to present their research on numerical methods. The topics of this conference focus on the algorithm development, analysis, and applications of efficient, accurate, and stable numerical methods, especially those for solving multi-physics and multi-scale problems. In recent years, the inherent multi-physics and multi-scale features of many sophisticated and challenging real-world problems accentuate the importance to develop more efficient, accurate, and stable numerical methods for the relevant partial differential equations. In order to address these needs, the Midwest Numerical Analysis Day 2020 intends to create a forum for early-career and senior researchers from different fields, including computational mathematics, computer science, physics, and various engineering fields, to discuss recent advances on relevant numerical methods with the corresponding numerical analysis and applications.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.