Prior-Assisted Hierarchical ADMM Decoding for Punctured Globally Coupled LDPC Codes. [PDF]
Shi W, Xie W, Hu J, Liu L.
europepmc +1 more source
The Alternating Direction Method of Multipliers (ADMM) is an extensively studied algorithm suitable for solving convex distributed optimisation problems. This Thesis presents a formulation of the ADMM that is guaranteed to converge if the communications among agents are faulty and the agents perform updates asynchronously.
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Reconstruction algorithm for photoacoustic tomography based on the L-alternating direction method of multipliers model. [PDF]
Wang X, Ren X, Wang H.
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Robust identification of impact force acting on composite structures via a single FBG sensor using variational mode decomposition. [PDF]
Huang J, Yang X, Jiang Q, Zhang L.
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An Adaptive Multiparameter Penalty Selection Method for Multiconstraint and Multiblock ADMM. [PDF]
Lozenski L, McCann MT, Wohlberg B.
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A Sparse Super-Resolution Imaging Approach for Array Scanning Radar in High-Resolution Ground Mapping. [PDF]
Tuo X +5 more
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Approximate versions of the alternating direction method of multipliers
Convex optimization is at the core of many of today's analysis tools for large datasets, and in particular machine learning methods. This thesis will develop approximate versions of the alternating directrion of multipliers (ADMM) for the general ...
core
Accelerated distributed scheduling of integrated community energy systems considering electricity-heat sharing. [PDF]
Sun X +5 more
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Distributed quantile regression for big data with missing covariates. [PDF]
Fan Y, Zhou H, Zhou J, Tong T, Lin N.
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We focus on the convergence rate of the alternating direction method of multipliers (ADMM) in a complex domain. First, the complex form of variational inequality (VI) is established by using the Wirtinger calculus technique.
Li, Lu, Wang, G. Q., Zhang, J. L.
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