报告时间：2021/06/03 10:00-11:00 (GMT+08:00) 中国标准时间 - 北京

报告地点：https://meeting.tencent.com/s/artJDT31UiUq  会议ID：351 319 284

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报告人：杨晓琪（香港理工大学）

报告摘要：

      In this talk we will consider the extended Newton method for approaching a Pareto optimum of multiobjective optimization problems and establish its quadratic convergence criteria and estimation of radius of convergence ball under the assumption that the Hessians of objective functions satisfy an L-average condition. As applications of the obtained results, convergence theorems under the classical Lipschitz condition or the gamma condition are presented for multiobjective optimization, and the global quadratic convergence results of the extended Newton method with Armijo/Goldstein/Wolf line-search schemes are also provided.

邀请人：周育英