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Computational Algebra and Applications

计算代数及其应用

基本信息

批准号：
2006410
负责人：
Henry Schenck
金额：
$ 20万
依托单位：
Auburn University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2021
资助国家：
美国
起止时间：
2021-03-01 至 2025-02-28
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2006410&HistoricalAwards=false
关键词：
Computational Algebra Applications

项目摘要

Many real world problems have a significant mathematical component. This project uses computational algebra to attack such problems. The main themes are: (1) Data Analysis, (2) Graphics, visualization, geometric modeling, (3) Computer science and computational complexity. A main problem in Data Analysis is to extract meaning from a massive dataset: imagine a dense, cloud of moving points. One approach is to freeze the cloud at a moment in time, and then increase the size of the individual points until nearby groups coalesce. Topological Data Analysis uses sophisticated mathematical tools to study the problem, and has led to insights into visual cortex activity, cancer pathology, and viral evolution. Companies from Boeing to Pixar use computer graphics and geometric modeling in applications ranging from analyzing turbulent fluid flow (air passage over a plane's wing) to accurate simulations and virtual reality. Key mathematical tools are splines, which provide a way of assembling a coherent big picture from local pieces. A third theme of this project is the modeling of dynamic processes, which often comes down to multiplying (massive) matrices many times (a matrix is a rectangular array of numbers). Finding efficient ways to multiply matrices is the topic of a subfield of Computer Science known as complexity theory. The project builds on prior work of the PI using algebraic objects known as permanents to provide insight into the problem. While at his previous position at Iowa State, the PI partnered with the Iowa State Veterans Center to provide extra math tutoring and support for student veterans, including an intensive day long Math Boot Camp at the start of each semester. In this project, he will develop similar programs at Auburn, with the first boot camp planned for fall 2021.The proposal revolves around a few main themes: permanents, polytopal parameterizations, and persistent homology, approximation theory and splines. The first group of topics is unified by homological methods and simplicial complexes, and the second by the interplay of algebra and discrete geometry; the objects of investigation are central players in computational mathematics. The problems share three traits: they are of importance in real world applications; subtle geometric or combinatorial data is reflected algebraically; and they are computationally tractable. The project will use the power of computational algebra to discover hidden connections between important applied invariants and geometry, combinatorics, and algebra. There are elegant characterizations of key invariants for applications (e.g. dimension of the spline space for a polytopal subdivision, equations for Wachspress parametric surfaces, the support locus of persistent homology) in terms of algebra. The concrete and computational aspect of the problems means they are ideal for involving graduate students and postdocs, and makes prospects for progress excellent. In addition to scientific advances, the project will result in development of specialized software, to be coauthored with students and integrated into the NSF-sponsored Macaulay2 software package.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.

许多真实的世界问题都有重要的数学成分。这个项目使用计算代数来解决这样的问题。主要主题是：（1）数据分析，（2）图形，可视化，几何建模，（3）计算机科学和计算复杂性。数据分析中的一个主要问题是从大量数据集中提取意义：想象一个密集的移动点云。一种方法是在某个时刻冻结云，然后增加单个点的大小，直到附近的组合并。拓扑数据分析使用复杂的数学工具来研究这个问题，并导致了对视觉皮层活动，癌症病理学和病毒进化的深入了解。从波音公司到皮克斯公司都在使用计算机图形和几何建模，其应用范围从分析湍流（飞机机翼上的空气通道）到精确模拟和虚拟现实。关键的数学工具是样条函数，它提供了一种从局部片段中组装出连贯的大画面的方法。这个项目的第三个主题是动态过程的建模，这通常归结为将（大量）矩阵乘以许多次（矩阵是一个矩形数组）。寻找矩阵相乘的有效方法是计算机科学的一个子领域，称为复杂性理论。该项目建立在PI之前的工作基础上，使用被称为持久化的代数对象来提供对问题的洞察。而在他以前的位置在爱荷华州，PI与爱荷华州退伍军人中心合作，为学生退伍军人提供额外的数学辅导和支持，包括一个密集的一天长的数学靴子营在每个学期开始。在这个项目中，他将在奥本开发类似的程序，第一个靴子营地计划于2021年秋季。该提案围绕着几个主要主题：持久性，多面体参数化，持久性同源性，近似理论和样条。第一组主题是统一的同调方法和单纯复形，第二个由代数和离散几何的相互作用;调查的对象是计算数学的核心球员。这些问题有三个共同的特点：它们在真实的世界应用中具有重要性;微妙的几何或组合数据在代数上得到反映;它们在计算上易于处理。该项目将利用计算代数的力量来发现重要的应用不变量与几何，组合学和代数之间的隐藏联系。有优雅的特征的关键不变量的应用程序（例如维数的样条空间的多面体细分，方程的Wachspress参数曲面，支持轨迹的持续同源）在代数方面。这些问题的具体和计算方面意味着它们是研究生和博士后的理想选择，并且进展前景非常好。除了科学进步，该项目还将开发专门的软件，与学生共同创作并集成到NSF赞助的Macaulay 2软件包中。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来支持。