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31

2019-05

Dynamical degrees of self-maps on abelian varieties

报告题目： Dynamical degrees of self-maps on abelian varieties 报告人：Fei Hu (英属哥伦比亚大学）时间：2019年6月3日（周一）下午4:00-5:00 地点：工商楼200-9 摘要： Let $X$ be a smooth projective variety defined over an algebraically closed field of arbitrary characteristic, and $f/colon X /to X$ a surjective morphism. The $i$-th cohomological dynamical degree $/chi_i(f)$ of $...

29

2019-05

概率统计学术报告

Title: Diffusion Approximation of Near Critical Branching Processes in Fixed and Random Environment Speaker: Nikolaos Limnios University of Technology of Compiegne, Sorbonne University, France. Time: 3:00pm, 2019-6-5（星期三） Location: 200-9 R.R.Shaw Building（逸夫楼），Yuquan Campus, Zhejiang University Abstract: We consider Bienayme-Galton-Watson and continuous-time Markov b...

29

2019-05

On a class of infinite simple Lie conformal algebras associated with generalized block type Lie algebras

报告题目： On a class of infinite simple Lie conformal algebras associated with generalized block type Lie algebras 报告人：洪燕勇博士（杭州师范大学）时间： 2019年6月4上午9:00-11:00 地点：欧阳纯美楼220 摘要：In this talk, we will study some structure theory and representation theory of a class of infinite simple Lie conformal algebras associated to a class of generalized bl...

29

2019-05

Signal Separation based on Synchrosqueezing Transforms

题目：Signal Separation based on Synchrosqueezing Transforms时间：5月31日（周五）下午15:30地点：工商楼105报告人：Qingtang Jiang教授，美国密苏里大学圣路易斯分校摘要：Recently the synchrosqueezing transform (SST) has been developed for signal separation and a sharp time-frequency representation of a non-stationary signal by assigning the scale variable of the signal’s continuous wavelet transform t...

29

2019-05

动力系统学术报告

动力系统学术报告报告题目： A class of positive functions on the circle and their applications on Hankel operators 报告人：邱彦奇 (中国科学院）时间：2019年5月31日（星期五）上午10:00-11:00 地点：工商楼4楼会议室摘要： We propose a definition of hyper-positive functions on the circle related to stochastic processes on homogeneous trees. After giving a complete criterion of such ...

28

2019-05

概率统计学术报告

Title: Analysis of Linear Transformation Models with Covariate Measurement Error and Interval Censoring Speaker: Professor Suojin Wang (王所进) Texas A&M University. Time: 3:00pm, 2019-6-6（星期四） Location: 316 Ouyang Building（欧阳楼），Yuquan Campus, Zhejiang University Abstract: Among several semiparametric models, the Cox proportional hazard model is widely used to assess ...

28

2019-05

Sparse grid WENO schemes for high spatial dimension hyperbolic and convection-diffusionequations

Sparse grid WENO schemes for high spatial dimension hyperbolic and convection-diffusionequations 时间：6月3日上午10:00――11:00 地点：工商楼200-9 报告人: Yongtao Zhang (University of Notre Dame) 摘要: In recent years, sparse grid techniques have been used broadly as an efficient approximation tool for high-dimensional problemsin many scientific and engineering applications. In th...

28

2019-05

Local energy decay for wave equations in the presence of degenerate trapping

报告题目：Local energy decay for wave equations in the presence of degenerate trapping 报告人：Professor Jason Metcalfe (University of North Carolina � Chapel Hill) 时间：2019年5月31日（星期五）下午3：00-4：00 地点：教十一417教室摘要：We will discuss local energy estimates for wave equations. Trapping is a known obstruction to such estimates. However, in the presence of unstabl...

23

2019-05

动力系统与数论研讨会

报告1： Cup product and Sharifi's conjectures 报告人：Jun Wang (英属哥伦比亚大学) 时间：2019年5月28日（星期二）下午2:00-3:00 地点：工商楼200-9 摘要： R. Sharifi formulated remarkable conjectures which relate the arithmetic of cyclotomic fields to Eisenstein quotient of the homology groups of modular curves. In this talk, I will give a brief introduction to Sharifi's conjectures and explai...

23

2019-05

Cluster analysis and visualization of sparse categorical data等

时间：2019年5月24日14：00―16：15 地点：玉泉校区数学中心五楼报告厅 a)Title：Shape-constrained Inference: Monotonicity of Densities Time: 14:00―14:45 Speaker: Prof. YAM, Phillip（CUHK） Abstract: An a priori understanding of the (even just topological) structure of the data from a specific discipline can often strengthen much of the effectiveness of the inference, both for estimation a...

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