Results 31 to 40 of about 7,185 (222)
Background The nerve to the abductor digiti minimi muscle (ADMM nerve) is the first branch of the lateral plantar nerve or originates directly from the posterior tibial nerve.
Daisuke Mizuno +5 more
doaj +1 more source
ADMM for Distributed Dynamic Beamforming [PDF]
This paper shows the capability the alternating direction method of multipliers (ADMM) has to track, in a distributed manner, the optimal down-link beam-forming solution in a multiple input multiple output (MISO) multi-cell network given a dynamic channel. Each time the channel changes, ADMM is allowed to perform one algorithm iteration.
Marie Maros, Joakim Jaldén
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Federated Learning Via Inexact ADMM
One of the crucial issues in federated learning is how to develop efficient optimization algorithms. Most of the current ones require full device participation and/or impose strong assumptions for convergence. Different from the widely-used gradient descent-based algorithms, in this paper, we develop an inexact alternating direction method of ...
Shenglong Zhou 0001, Geoffrey Ye Li
openaire +3 more sources
Efficient Semidefinite Programming with Approximate ADMM [PDF]
AbstractTenfold improvements in computation speed can be brought to the alternating direction method of multipliers (ADMM) for Semidefinite Programming with virtually no decrease in robustness and provable convergence simply by projecting approximately to the Semidefinite cone.
Rontsis, N, Goulart, P, Nakatsukasa, Y
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Distributed ADMM With Synergetic Communication and Computation [PDF]
Accepted for publication in IEEE ...
Zhuojun Tian +5 more
openaire +2 more sources
Towards real-time ADMM for linear MPC
We present a novel predictive control scheme for linear constrained systems that uses the alternating direction method of multipliers (ADMM) for online optimization.
Darup, Moritz Schulze, +3 more
core +2 more sources
A fully distributed optimal power flow algorithm for multi-regional DC systems based on ADMM
To address the scalability limitations of traditional centralized optimal power flow algorithms, a fully distributed algorithm for solving optimal power flow in DC systems with large-scale distributed energy sources is proposed.
YE Qingquan +5 more
doaj +1 more source
High-Resolution ISAR Imaging Based on Plug-and-Play 2D ADMM-Net
We propose a deep learning architecture, dubbed Plug-and-play 2D ADMM-Net (PAN), by combining model-driven deep networks and data-driven deep networks for effective high-resolution 2D inverse synthetic aperture radar (ISAR) imaging with various signal-to-
Xiaoyong Li +3 more
doaj +1 more source
Distributed Convex Optimisation using the Alternating Direction Method of Multipliers (ADMM) in Lossy Scenarios [PDF]
The Alternating Direction Method of Multipliers (ADMM) is an extensively studied algorithm suitable for solving convex distributed optimisation problems.
Bastianello, Nicola
core
Interactive Operation Strategy for Multi-scenario County-Level Multi-microgrid Based on ADMM
Under the guidance of the "double carbon" goal, renewable energy has witnessed rapid growth in accommodation demand. In order to realize the complementary advantages of microgrid and renewable energy in the county and improve the accommodation rate of ...
Chongbiao ZHANG +4 more
doaj +1 more source

