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Augmented Lagrangian Methods invoking (Proximal) Gradient-type methods for (Composite) Structured Optimization Problems
报告人:贾小溪博士,德国维尔茨堡大学 时间:9月10号(周日)下午15:30 字号:

报告地点:行健楼学术活动室526

邀请人:徐玲玲

摘要:This reportfirst, is devoted to the theoretical and numerical investigation of an augmented Lagrangian method for the solution of optimization problems with geometric constraints, subsequently, as well as constrained structured optimization problems featuring a composite objective function and set-membership constraints. It is then concerned to convergence and rate-of-convergence analysis of proximal gradient methods for the composite optimization problems in the presence of the Kurdyka–Łojasiewicz property without global Lipschitz assumption.


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