报告题目:An Introduction to Riemannian Optimization and its Applications
报告人：黄文博士
报告时间：16：00
报告地点：健B103
题目：An Introduction to Riemannian Optimization and its Applications
报告人：黄文博士（中国医学大学教授）
地点：浙工大屏峰校区 健B103
时间：2016-1-09 16：00
摘要： Riemannian optimization, also called optimization on Riemannian manifolds, considers finding an optimum of a real-valued function f defined on a Riemannian manifold M. Riemannian optimization has been a topic of much interest over the past few years due to many important applications, e.g., blind source separation, matrix completion problems, matrix mean computation, and elastic shape analysis. In this presentation, the framework of Riemannian optimization is introduced, and the history and current state of Riemannian optimization algorithms are briefly reviewed. Elastic shape analysis of curves is used to demonstrate the efficiency and effectiveness of Riemannian optimization.
报告人简介: 黄文目前是Université catholique de Louvain的博士后。他本科(2003-2007)毕业于中国科学技术大学的信息与计算科学专业，后在Florida State University的Applied and Computational Mathematics专业获得了博士学位(2008-2013)。他的研究领域包括黎曼流形上的优化及其它的应用，包括elastic shape analysis of curves，independent component analysis，phase retrieval problem，low dimension learning，geometric mean of matrices等。已在国际权威数学杂志如SIAM J Optim, Math Program等上发表论文。