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• W2963674498 abstract "In this paper we propose an iterative method using alternating direction method of multipliers (ADMM) strategy to solve linear inverse problems in Hilbert spaces with a general convex penalty term. When the data is given exactly, we give a convergence analysis of our ADMM algorithm without assuming the existence of a Lagrange multiplier. In case the data contains noise, we show that our method is a regularization method as long as it is terminated by a suitable stopping rule. Various numerical simulations are performed to test the efficiency of the method." @default.
• W2963674498 created "2019-07-30" @default.
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• W2963674498 date "2016-01-01" @default.
• W2963674498 modified "2023-10-15" @default.
• W2963674498 title "Alternating Direction Method of Multipliers for Linear Inverse Problems" @default.
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• W2963674498 doi "https://doi.org/10.1137/15m1029308" @default.
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