2022
DOI: 10.1007/s10915-022-01958-w
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Preconditioned Three-Operator Splitting Algorithm with Applications to Image Restoration

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Cited by 3 publications
(1 citation statement)
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“…There have been numerous algorithms for solving the problem (1) when B = 0 because of the wide applications of this problem in compressed sensing, image recovery, sparse optimization, machine learning, etc. ; see [1][2][3][4][5][6][7], to name a few. Although in theory these algorithms can be used to solve the problem (1) by bundling A + B + C as T + C with T = A + B, (Id + T) −1 is hard to compute in practice.…”
Section: Introductionmentioning
confidence: 99%
“…There have been numerous algorithms for solving the problem (1) when B = 0 because of the wide applications of this problem in compressed sensing, image recovery, sparse optimization, machine learning, etc. ; see [1][2][3][4][5][6][7], to name a few. Although in theory these algorithms can be used to solve the problem (1) by bundling A + B + C as T + C with T = A + B, (Id + T) −1 is hard to compute in practice.…”
Section: Introductionmentioning
confidence: 99%