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Workshop: Recent Advances and Challenges in Discontinuous Galerkin Methods and Related Approaches

Workshop: Recent Advances and Challenges in Discontinuous Galerkin Methods and Related Approaches
研讨会:不连续伽辽金方法及相关方法的最新进展和挑战
批准号:
1720825
负责人:
Yanlai Chen
金额:
$1.5万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-06-01 至 2018-05-31

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中文摘要
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英文摘要
The international conference entitled "Recent Advances and Challenges in Discontinuous Galerkin Methods and Related Approaches" will be held at the Institute for Mathematics and its Applications at the University of Minnesota from June 29 to July 1, 2017. This award supports junior participants' travel. The event brings together a variety of researchers from at least 14 countries/regions. They range from internationally renowned experts to early career mathematicians and PhD students. The event will summarize recent advances made both in the theory and implementation of the Discontinuous Galerkin and related numerical approaches, and to identify new challenges and opportunities in these areas. The conference will also have a significant educational component, with each talk required to feature introductory parts at a level accessible to graduate students, and ample discussion sessions throughout the conference. To further promote cross-pollination and mentoring, there will be moderated panel sessions where participants explore the frontiers of different research areas, possibilities of new connections between areas and new applications, and exciting opportunities of new collaborations. It will help junior researchers broaden their perspective and create research ties with more senior members in these fields.Discontinuous Galerkin and related approaches have been adopted in areas ranging from mechanical engineering to the simulation of muscles. In recent decades, deep theoretical advances have been made and wide-ranging applications discovered for these approaches. They often lead to design of novel methods (e.g. Hybridizable discontinuous Galerkin methods, Virtual Element Methods, etc.) with superior properties in terms of accuracy, versatility, robustness and computational efficiency. They also leave open many exciting problems. This conference presents a rare but timely opportunity to summarize recent advances both in the theory and implementation of these methods, identify new challenges, and map out future research directions in related areas. The bringing together of people from different fields such as engineers, applied mathematicians, national lab researchers, will lead to cross-fertilization of ideas that normally does not happen in a conference of this size.
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会议论文
Reduced Basis Enhancements of Neural Networks and Their Application to Quantum Materials Simulation
Implementation of a Contextualized Computing Pedagogy in STEM Core Courses and Its Impact on Undergraduate Student Academic Success, Retention, and Graduation
Rigorous Development of an Efficient Reduced Collocation Approach for High-Dimensional Parametric Partial Differential Equations
Developing reduced basis methods for Galerkin and Collocation framework
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