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[Andre Milzarek][A stochastic semismooth Newton method for nonconvex nonsmooth optimization][5.4]

申博官网:李云飞 来源:数信学院 日期:2018-04-23 阅读:


主题:A stochastic semismooth Newton method for nonconvex nonsmooth optimization

主讲:Andre Milzarek,博士后,北京大学北京国际数学研究中心

时间:201854(星期五)下午15:30-16:30

地点:华凤校区二期理科楼B414(申博官网学术会议室)

主办: 科研处

承办: 申博官网

主讲简介:Andre Milzarek received his master’s degree with honours and his doctoral degree in mathematics from the Technical University of Munich in Germany under the supervision of Michael Ulbrich in 2013 and 2016, respectively. Currently, he is a postdoctoral researcher at the Beijing International Center for Mathematical Research at the Peking University in Beijing. His main research directions and interests cover nonsmooth optimization, large-scale and stochastic optimization, second order methods and theory. From 2010 to 2012 he was supported by the Max-Weber program of the state of Bavaria and in 2017 he received the Boya Postdoctoral Fellowship at Peking University. He published papers in SIAM Journal on Optimization, SIAM Journal on Scientific Computing and gave talks at various important international conferences, including EURO, SIAM and AIMS Conferences.

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