Results 171 to 180 of about 167,968,449 (203)

TDP-ADMM: A Timing Driven Placement Approach for Superconductive Electronic Circuits Using Alternating Direction Method of Multipliers

2020 57th ACM/IEEE Design Automation Conference (DAC), 2020
This paper presents a novel timing driven global placement approach utilizing the alternating direction method of multipliers (ADMM) targeting superconductive electronic circuits. The proposed algorithm models the placement problem as an optimization problem with constraints on the maximum wirelength delay of timing-critical paths and employs the ADMM ...
Soheil Nazar Shahsavani, Massoud Pedram
openaire   +1 more source

Relaxing Alternating Direction Method of Multipliers (ADMM) for Linear Inverse Problems

2018
We investigate the Alternating Direction Method of Multipliers (ADMM) for solving linear inverse problems. In particular, a relaxing factor is introduced to the standard algorithm allowing more flexible updating of the Lagrange multiplier. The convergence result is established for the Relaxing ADMM for the noise free data under appropriate assumptions.
Zehui Wu, Shuai Lu
openaire   +1 more source

Energy Management System for Interconnected Microgrids using Alternating Direction Method of Multipliers (ADMM)

2018 North American Power Symposium (NAPS), 2018
A distributed energy management system for an interconnected multi-microgrid system is developed and tested. The distributed energy management system is formulated using the alternating direction method of multipliers (ADMM) and is implemented using the CVX platform of the MATLAB environment.
Shravan Kumar Akula, Hossein Salehfar
openaire   +1 more source

Iterative reconstruction for low dose CT using Plug-and-Play alternating direction method of multipliers (ADMM) framework

Medical Imaging 2019: Image Processing, 2019
Concerns over the risks of radiation dose from diagnostic CT motivated the utilization of low dose CT (LdCT). However, due to the extremely low X-ray photon statistics in LdCT, the reconstruction problem is ill-posed and noisecontaminated. Conventional Compressed Sensing (CS) methods have been investigated to enhance the signal-to-noise ratio of LdCT ...
Qihui Lyu, Dan Ruan, John M. Hoffman, Ryan Neph, Michael F. McNitt-Gray, Ke Sheng   +5 more
openaire   +1 more source

Convergence Rate Analysis for the Alternating Direction Method of Multipliers with a Substitution Procedure for Separable Convex Programming

Mathematics of Operations Research, 2017
© 2017 INFORMS. Recently, in He et al. [He BS, Tao M, Yuan XM (2012) Alternating direction method with Gaussian back substitution for separable convex programming. SIAM J. Optim.
Xiaoming Yuan, Min Tao
exaly   +2 more sources

Distributed Fast-Tracking Alternating Direction Method of Multipliers (ADMM) Algorithm with Optimal Convergence Rate

2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2021
Shreyansh Shethia, Akshita Gupta 0001, Omanshu Thapliyal, Inseok Hwang 0002   +3 more
openaire   +2 more sources

An Alternating Direction Method of Multipliers (ADMM) Based Optimal Electric Vehicle Fleets Charging In Active Electric Distribution Network

2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT), 2022
Ali Ihsan Aygun, Aniket Joshi, Sukumar Kamalasadan   +2 more
openaire   +1 more source

Alternating direction method of multipliers for nonconvex log total variation image restoration

Applied Mathematical Modelling, 2023
Sam Kwong, Guopu Zhu, Zhibin Zhu
exaly  

Training Spiking Neural Networks via the Alternating Direction Method of Multipliers (ADMM)

Spiking Neural Networks (SNNs) offer a promising, energy-efficient alternative to the current Deep Learning paradigm. Drawing inspiration from biological neurons, they enable sparse information transmission, which might be crucial in low-power and low-latency applications.
openaire   +1 more source

Acoustic tomography of temperature and velocity fields by using the radial basis function and alternating direction method of multipliers

International Journal of Heat and Mass Transfer, 2022
Xiaoshu Cai, Mingxu Su, Hong Qi
exaly