International Conference on Computational Mathematics and Inverse Problems

计算数学与反问题国际会议的主要目标是汇集计算数学和反问题领域的国际专家以及初级研究人员。这种类型的科学聚会和互动可以对初级研究人员和研究生产生持久的影响。更广泛的重大影响将是吸引年轻的研究人员进入该领域，并在不同的群体之间建立新的联系。这次会议还将在计算数学和反问题之间架起一座桥梁。思想的交流对这两个领域的研究人员都是有益的。此外，将有大量的研究生出席。会议是一个很好的机会，让他们接触到最前沿的研究，发现有趣的研究课题，向世界领先的研究人员学习，并为未来的学术生涯建立网络/合作。在地理位置上，密歇根理工大学与主要城市有点隔离。这次会议将促进研究活动，并使该系在数学科学界更加引人注目。根据目前的研究趋势和广泛的应用范围，会议重点讨论了以下主题：大数据科学中的大稀疏特征值问题的迭代方法、特征值问题的有限元方法、计算电磁学、逆散射理论中的直接技术、全波反演。会议将包括国际专家就上述主题进行的全体会议，初级研究人员的邀请演讲，以及主要由研究生贡献的演讲。会议的主题涉及当今计算数学和反问题研究前沿的快速发展。一方面，反问题对计算方法的要求越来越高。另一方面，计算数学家可以在反问题中发现有趣的新问题。会议主题的适用性扩展到许多现实世界的应用，包括大数据科学，高性能计算，医学成像，无损检测，地下成像和勘探。

The main goal of the International Conference on Computational Mathematics and Inverse Problems is to bring together an international collection of established specialists as well as junior researchers in the area of computational mathematics and inverse problems. This type of scientific gathering and interaction can have long-lasting impact on junior researchers and graduate students. A significant broader impact will be to bring young researchers into the field, and establish new connections between disparate groups. The conference will also build a bridge between computational mathematics and inverse problems. The exchange of ideas will be beneficial to researchers in both areas. In addition, there will be a significant attendance of graduate students. The conference is a great opportunity for them to access the cutting-edge research, find interesting research topics, learn from world leading researchers, and build the network/collaboration for future academic careers. Geographically, Michigan Technological University is a little isolated from major cities. The conference will provide a boost to the research activities and give the department more visibility in the mathematical sciences community.On the basis of current research trends and the wide spectrum of applications, the conference focuses on the following topics: iterative methods for large sparse eigenvalue problems with applications in big data sciences, finite element methods for eigenvalue problems, computational electromagnetic, direct techniques in inverse scattering theory, full wave inversion. The conference will feature plenary talks given by international experts on the aforementioned topics, invited talks from junior researchers, and contributed talks mainly from graduate students. The topics of the conference involve rapidly developments at the frontiers on today's research in computational mathematics and inverse problems. On one hand, the demand of computational methods in inverse problems is ever increasing. On the other hand, the computational mathematicians can find interesting new problems in inverse problems. Applicability of the conference topics extends to many real world applications including big data sciences, high performance computing, medical imaging, non-destructive testing, underground imaging and exploration.