»ã±¨±êÌâ (Title)£ºAugmented Lagrangian-based Methods for Conic Constraint Optimization Problems £¨×¶Ô¼ÊøÓÅ»¯ÎÊÌâµÄ»ùÓÚÔö¹ãÀ­¸ñÀÊÈյIJ½Ö裩

»ã±¨ÈË (Speaker)£º³ÂÁÁ ¸±½ÌÊÚ£¨ºþÄÏ´óѧ£©

»ã±¨¹¦·ò (Time)£º2025Äê5ÔÂ17ÈÕ (ÖÜÁù) 13:00

»ã±¨µØÖ· (Place)£ºÐ£±¾²¿GJ303

Ô¼ÇëÈË(Inviter)£ºÐì×Ë ½ÌÊÚ

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»ã±¨ÌáÒª: This talk introduces some augmented Lagrangian-based methods for conic constraint optimization problems from both the computational and theoretical perspectives. We present a class of decomposition-based first-order algorithms for solving large-scale convex composite conic programming, a unified second-order augmented Lagrangian algorithm framework for nonlinear conic programming, and some recent advances in perturbation analysis of nonlinear second-order cone programming and semidefinite programming problems.