Primal-dual interior-point relaxation and smoothing methods for nonlinear programs
[TMCSC]
July 30, 2020 14:30-15:30
腾讯会议（线上）
SPEAKER
刘新为（河北工业大学）
ABSTRACT
We present a class of primal-dual interior-point relaxation methods for nonlinear programs. The methods are of the interior-point variety, but not require any primal or dual iterates to be interior-points, thus provide a new approach for improving interior-point methods. Some smoothing methods are introduced, the topics including the system for search directions, the merit function for step sizes and the update of barrier and penalty parameters are discussed.
ORGANIZERS
黄南京（四川大学）
寇 辉（四川大学）
连 增（四川大学）
张德学（四川大学）
张伟年（四川大学）
SUPPORTED BY
国家天元数学西南中心
四川大学数学学院
VIDEO
- Primal-dual interior-point relaxation and smoothing methods for nonlinear programs
- 14:30 - 15:30, 2020-07-30 at 腾讯会议（线上）
- 刘新为（河北工业大学）