搜索
导航
基础数学系学术报告 题目: Geometric estimates for complex monge- ampere equations 报告人：郭 斌 博士（美国罗格斯大学纽瓦克分校） 报告时间：2019.11.1 下午2:00-3:00 报告地点：数学学院E404（沙河校区） 摘要：In the talk, we will prove uniform gradient and diameter estimates for a family of geometric complex Monge–Ampère equations. Such estimates can be applied to study geometric regula...
题目: Log canonical thresholds on Burniat surfaces via the canonical divisors• 报告人: YongJoo Shin, 韩国高等研究院(KIAS) 时间 ： 2019年10月31日(周四)下午15:00-16:00地点：沙河校区E707摘要: The log canonical threshold has originally studied for an existence of a K¨ahler- Einstein metric on a smooth Fano variety via the anti-canonical divisor. Recently the log canonical t...
题目: Data Driven Governing Equations Recovery with Deep Neural Networks报告人 报告时间：2019.10.23 下午14:00-15:00 报告地点：数学学院E404（沙河校区） 摘要: We present effective numerical algorithms for recovering unknown governing differential equations from measurement data. Upon recasting the problem into a function approximation problem, we discuss several important aspects for...
题目: Reduced order models 报告时间：2019.10.17 上午10:00-11:00 报告地点：数学学院E404（沙河校区） 摘要: Models of reduced computational complexity is used extensively throughout science and engineering to enable the fast/real-time/subscale modeling of complex systems for control, design, multi-scale analysis, uncertainty quantification etc While of undisputed value these reduced models...
北航数学论坛 题目: RevisedProgressive-Hedging-Algorithm Based Two-layer Solution Scheme for Bayesian Reinforcement Learning报告人：李端教授（香港城市大学）时间： 2019年9月25号 16:30-1:30地点：北航沙河校区国家实验室二期E405摘要: Stochastic control with both inherent random system noise and lack of knowledge on system parameter constitutes a fundamental challenge in reinforcement learning ...
报告题目：几种高性能数值方法及其应用研究报告人： 徐进 研究员 中国科学院软件研究所时间：9月11日（周三）下午3点地点：沙河校区主楼E40
