【学术报告】Sharp bounds for the first two eigenvalues of an exterior Steklov eigenvalue problem

应用数学系学术报告Sharp bounds for the first two eigenvalues of an exterior Steklov eigenvalue problem 熊昌伟 （四川大学）报告时间：14：00-15：00，2022-12-13（星期二）报告地点： 线上会议（腾讯会议号： 366-213-339）内容简介： In this talk we will discuss a Steklov eigenvalue problem on an exterior Euclidean domain. We will present sharp lower and upper bounds for its first eigenvalue under vario...

【学术报告】Well-posedness of classical solutions to the vacuum free boundary problem of the viscous Saint-Venant system for shallow waters

应用数学系学术报告Well-posedness of classical solutions to the vacuum free boundary problem of theviscous Saint-Venant system for shallow waters 王跃循，兰州大学(教授) 报告时间：10：00-11：00，2022-12-12（星期一上午）报告地点： 线上会议（腾讯会议号： 573-168-377）https://meeting.tencent.com/dm/EqB61eXqQg5w内容简介： We establish the local-in-time well-posedness of classical solutions to the vac...

【学术报告及分析与偏微分方程讨论班(2022秋第12讲)】Asymptotics and uniqueness of positive solutions of the Lane-Emden system in planar domains

数学科学学院学术报告--- 分析与偏微分方程讨论班(2022秋季第12讲)题目: Asymptotics and uniqueness of positive solutions of the Lane-Emden system in planar domains报告人: 陈志杰 教授 （清华大学）时间：2022-12-13        9：00-10：00  (周二上午)  地点: 腾讯会议 ID：745-860-556    腾讯会议链接：https://meeting.tencent.com/dm/XzMvY623QLOW摘要: In this talk, I will talk about the asymptotics and uniquen...

【学术报告及分析与偏微分方程讨论班(2022秋第11讲)】On the existence of co-rotating vortices for the gSQG equation

数学科学学院学术报告--- 分析与偏微分方程讨论班(2022秋季第11讲)题目: On the existence of co-rotating vortices for the gSQG equation报告人: 詹伟城 副教授 (厦门大学)时间：2022-12-07  16：00-17：00  (周三下午)  地点: 腾讯会议 ID：545-314-171     腾讯会议链接：https://meeting.tencent.com/dm/sU6CG7tMHJCt摘要: In this talk, I will introduce some recent results of the existence of co-rotating vortices ...

【学术会议】北京航空航天大学非线性偏微分方程学术研讨会

【学术报告】Adaptive Iterative Hard Thresholding for Least Absolute Deviation Problems with Sparsity Constraints

数学科学学院学术报告 Adaptive Iterative Hard Thresholding for Least Absolute Deviation Problems with Sparsity Constraints沈益（浙江理工大学） 报告时间：2022年11月25日 星期五报告地点：腾讯会议 166-386-244报告摘要：Constrained Least absolute deviation (LAD) problems often arise from sparse regression of statistical prediction and compressed sensing literature.  It is challenging to solve LAD prob...