A proximal Peaceman-Rachford splitting method for compressive sensing
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Publication:2634343
DOI10.1007/s12190-015-0874-xzbMath1330.90079OpenAlexW2002956129MaRDI QIDQ2634343
Publication date: 9 February 2016
Published in: Journal of Applied Mathematics and Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s12190-015-0874-x
Related Items (11)
Modified hybrid decomposition of the augmented Lagrangian method with larger step size for three-block separable convex programming ⋮ Generalized Peaceman-Rachford splitting method for multiple-block separable convex programming with applications to robust PCA ⋮ The symmetric ADMM with indefinite proximal regularization and its application ⋮ Generalized peaceman-Rachford splitting method for separable convex programming with applications to image processing ⋮ Linearized generalized ADMM-based algorithm for multi-block linearly constrained separable convex programming in real-world applications ⋮ A linearized Peaceman-Rachford splitting method for structured convex optimization with application to stable principal component pursuit ⋮ A symmetric version of the generalized alternating direction method of multipliers for two-block separable convex programming ⋮ Improved proximal ADMM with partially parallel splitting for multi-block separable convex programming ⋮ Relaxed inertial proximal Peaceman-Rachford splitting method for separable convex programming ⋮ Strictly contractive Peaceman-Rachford splitting method to recover the corrupted low rank matrix ⋮ Iteration complexity on the generalized Peaceman–Rachford splitting method for separable convex programming
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