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- W3181842162 abstract "In this paper, we consider a proximal linearized alternating direction method of multipliers (PL-ADMM) for solving linearly constrained nonconvex and possibly nonsmooth optimization problems. The algorithm is generalized by using variable metric proximal terms in the primal updates and an over-relaxation stepsize in the multiplier update. We prove that the sequence generated by this method is bounded and its limit points are critical points. Under the powerful Kurdyka-{Łojasiewicz} properties we prove that the sequence has a finite length thus converges, and we drive its convergence rates." @default.
- W3181842162 created "2021-07-19" @default.
- W3181842162 creator A5049836483 @default.
- W3181842162 date "2020-09-08" @default.
- W3181842162 modified "2023-09-27" @default.
- W3181842162 title "Convergence Analysis of A Proximal Linearized ADMM Algorithm for Nonconvex Nonsmooth Optimization" @default.
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