【今天20:30】International Seminar on SDEs and Related Topics

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01 会议信息 报告题目 Overcoming the curse of dimensionality: from nonlinear Monte Carlo to the training of deep neural networks 报告嘉宾 Arnulf Jentzen (The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), China andUniversity of Münster, Germany） 报告时间 2024年12月13日20:30（北京时间） 观看方式 （1）直播间链接： https://live.bilibili.com/h5/21963219 （2）zoom地址： Zoom link Meeting ID: 618 9100 7917 报告摘要 Partial differential equations (PDEs) are among the most  universal tools used in modelling problems in nature and man-made complex systems. Nearly all traditional approximation algorithms for PDEs in the literature suffer from the so-called "curse of dimensionality" in the sense that the number of required computational operations of the approximation algorithm to achieve a given approximation accuracy grows exponentially in the dimension of the considered PDE. With such algorithms it is impossible to approximately comp ………………………………