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Analysis Seminar Date: 2021-05-06 16:00-18:00 Tencent meeting ID：445 587 385 Lecture 1Title： Stability in Gagliardo-Nirenberg-Sobolev inequalitiesSpeaker：Nikita Simonov (Universite Paris Dauphine)Date/Time：2021-05-06 16:00-17:00 pmLocation：Tencent meeting ID：445 587 385Abstract: In some functional inequalities, best constants and minimizers are known. The next question is stabili...
数学学院学术报告报告题目： Hypercontractivity of heat semigroups on free quantum groups报告人：Prof. Guixiang Hong (Wuhan University)时间：2021-04-29 10:00-11:00 地点：Tencent meeting ID：409 757 108 摘要：In this talk, I shall present two semigroups of completely positive unital self-adjoint maps on the von Neumann algebras of the free orthogonal quantum group and the free permutation quantum ...
北航微分几何讨论班（2021年春第7讲） 题目：Sharp affine isoperimetric inequalities for the volume decomposition functionals of polytopes 报告人：熊 革 教授（同济大学）报告时间：2021.4.30 10:00-11:00腾讯会议号：570 714 666摘要：In this talk, I will introduce our very recent work on the geometry of polytopes. We prove that the nth power of the volume functional of polytopes P in ,according to dim...
北航微分几何讨论班（2021年春第6讲） 题目：Complex structures on Einstein four-manifolds 报告人：吴 鹏 研究员（复旦大学）报告时间：2021.4.30 9:00-10:00腾讯会议号：570 714 666摘要：The question that when a simply connected four-manifold with a complex structure admits a compatible Einstein metric of positive scalar curvature has been answered by Tian, LeBrun, respectively. Tian classified Kahler-...
数学科学学院学术报告 On the linear convergence of non-Euclidean gradient method without convexity and gradient Lipschitz continuity 陈加伟 教授（西南大学数学与统计学院） 报告时间：2021年4月21日下午3:00-4:00报告地点：沙河校区J1-110报告摘要：The gradient method is well known to globally converge linearly when the objective function is strongly convex and admits a Lipschitz continuous gradient. I...
数学科学学院学术报告 Deterministic and Stochastic ADMM for Structured Convex Optimization 白建超 副教授（西北工业大学数学与统计学院） 报告时间：2021年4月21日下午4:00-5:00报告地点：沙河校区J1-110报告摘要：In this talk, our recent researches on a deterministic alternating direction method of multipliers (ADMM) and two stochastic ADMMs are presented for solving the muti-block structured convex op...
