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Foundations of Computational Mathematics Conference – FoCM 2023

Foundations of Computational Mathematics Conference – FoCM 2023
计算数学基础会议 – FoCM 2023
批准号:
2232812
负责人:
Peter Binev
金额:
$4.95万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-12-01 至 2023-11-30

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中文摘要
翻译
计算数学基础系列的下一个三年一度的国际会议FoCM 2023将于2023年6月12日至21日在法国巴黎的索邦大学举办。计算数学(FoCM)会议的基础旨在成为探索数学和当代计算之间广泛接口的主要工具,这是一个在智力和实际应用方面都很重要的主题领域。预计将有来自世界各地的约500名研究人员参加会议,其中约三分之一将来自美国。该项目将部分支付参加会议的各种美国研究人员的旅费和住宿费。大部分资金将以竞争的方式分配给美国的初级参与者,包括研究生,博士后和终身教职人员。会议将遵循前FoCM会议的形式:上午的全体演讲和下午的主题平行研讨会。每个研讨会持续三天,会议将由三个时段组成,每个时段包括7个数学上不同但相互关联的研讨会,总共有21个研讨会。这些活动与海报会议和参与者之间的非正式互动相结合,将前沿研究与青年参与者的辅导和培训机会结合起来,帮助他们建立包括世界领先研究人员的网络。许多主题将不同的研讨会主题联系起来,例如从计算中学习自动化,适应和优化计算过程,计算过程本身就成为一种分析工具,从计算代数几何中使用的代数方程组的同伦方法和连续优化中的内点方法到微分方程的数值方法和微分几何的各个方面,机器学习和信号处理被视为非常大且具有挑战性的凸优化问题,用于求解代数和微分方程的符号算法中的共同主题,以及在真实的/复杂的算术计算模型和图灵机模型的背景下考虑的组合和棘手性以及离散优化。 有关FoCM 2023会议的更多信息,请访问https://focm2023.orgThis奖项反映了NSF的法定使命,并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,被认为值得支持。
英文摘要
The next triennial international conference in the series Foundations of Computational Mathematics, FoCM 2023, will be hosted at the Sorbonne University in Paris, France, June 12–21, 2023. The Foundations of Computational Mathematics (FoCM) conferences aim to be a main vehicle in the exploration of the broad interface between mathematics and contemporary computation, a subject area of importance both intellectually and for practical applications. It is expected that about 500 researchers will attend the conference from around the world, and about a third of them will be from the US. This project will partially cover travel and lodging costs for a diverse group of US researchers attending the conference. The majority of the funds will be distributed on a competitive basis to junior US participants, including graduate students, postdocs, and tenure track faculty.The conference will follow the format of former FoCM conferences: plenary lectures in the mornings and theme-centered parallel workshops in the afternoons. Each workshop extends over three days, and the conference will consist of three periods, each period featuring 7 mathematically diverse but interconnected workshops, with 21 workshops in total. These activities combined with poster sessions and informal interactions among participants all synthesize forefront research with mentoring and training opportunities for young participants, helping them develop networks that include the world’s leading researchers. A number of themes connect the diverse workshop topics, such as learning from computation to automate, adapt and optimize the computational process which by itself becomes an analysis tool, ties from homotopy methods used in computational algebraic geometry for systems of algebraic equations and interior point methods in continuous optimization to numerical methods for differential equations and aspects of differential geometry, machine learning and signal processing cast as very large and challenging convex optimization problems, common themes among symbolic algorithms used for the solution of algebraic and differential equations, and relationships between decidability and tractability in real/complex arithmetic computational models and the Turing machine models considered in the context of combinatorics and intractability as well as discrete optimization. More information about the FoCM 2023 conference can be found at https://focm2023.orgThis 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.
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会议论文
Optimal Convergence Rates for Adaptive Finite Element Techniques
ATD Collaborative Research: Theory and Algorithms for High Dimensional Learning
国内基金
海外基金
Computational Methods for Analyzing Toponome Data