Results 131 to 140 of about 16,083 (234)

An Adaptive Multiparameter Penalty Selection Method for Multiconstraint and Multiblock ADMM. [PDF]

IEEE Open J Signal Process
Lozenski L, McCann MT, Wohlberg B.
europepmc   +1 more source

Direct Cardiac T1 Mapping with Subspace Modeling and Free-breathing Data Acquisition. [PDF]

IEEE Trans Biomed Eng
Marin T, Han PK, Szezurek D, Zhuo Y, Mounime I, Djebra Y, Lee W, Fakhri GE, Ma C.   +8 more
europepmc   +1 more source

Approximate versions of the alternating direction method of multipliers

, 2016
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  

Joint power-time resource optimization for multi-tag RFID wireless power transfer via model predictive control and ADMM. [PDF]

PLoS One
Yuan L, Wang X, Chen H, Wang Y.
europepmc   +1 more source

On the \(O(1/K)\) convergence rate of alternating direction method of multipliers in a complex domain

, 2018
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.
core  

Variable Selection via Fused Sparse-Group Lasso Penalized Multi-state Models Incorporating Molecular Data. [PDF]

Biom J
Miah K, Goeman JJ, Putter H, Kopp-Schneider A, Benner A.   +4 more
europepmc   +1 more source

Federated Logistic Regression with Enhanced Privacy: A Dynamic Gaussian Perturbation Approach via ADMM from an Information-Theoretic Perspective. [PDF]

Entropy (Basel)
Yuan J, Wang Y, Ma H, Liu W.
europepmc   +1 more source

Distributed Convex Optimisation using the Alternating Direction Method of Multipliers (ADMM) in Lossy Scenarios

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.
openaire   +1 more source

Resilient distributed model predictive control for cooperative microgrids under communication loss with demand response integration. [PDF]

PLoS One
Alghamdi B.
europepmc   +1 more source

A Multidimensional Matrix Completion Method for 2-D DOA Estimation with L-Shaped Array. [PDF]

Sensors (Basel)
Zhang H, Shi J, Li Z, Shi S.
europepmc   +1 more source