Zobrazeno 1 - 10
of 41 022
pro vyhledávání: '"ADMM"'
Autor:
Xing, Zheyuan1 (AUTHOR) 13679172551@163.com, Wu, Tingting2 (AUTHOR) wutt@njupt.edu.cn, Yue, Junhong3 (AUTHOR) yuejunhong@tyut.edu.cn
Publikováno v:
Asia-Pacific Journal of Operational Research. Jun2024, Vol. 41 Issue 3, p1-29. 29p.
In this paper, we consider the conditional generation problem by guiding off-the-shelf unconditional diffusion models with differentiable loss functions in a plug-and-play fashion. While previous research has primarily focused on balancing the uncond
Externí odkaz:
http://arxiv.org/abs/2411.12773
The four-dimensional variational data assimilation (4D-Var) has emerged as an important methodology, widely used in numerical weather prediction, oceanographic modeling, and climate forecasting. Classical unconstrained gradient-based algorithms often
Externí odkaz:
http://arxiv.org/abs/2410.04471
Autor:
Chen, Jushan
C-ADMM is a well-known distributed optimization framework due to its guaranteed convergence in convex optimization problems. Recently, C-ADMM has been studied in robotics applications such as multi-vehicle target tracking and collaborative manipulati
Externí odkaz:
http://arxiv.org/abs/2410.01728
Autor:
Chen, Jushan
This paper presents a tutorial on the Consensus Alternating Direction Method of Multipliers (Consensus ADMM) for distributed optimization, with a specific focus on applications in multi-robot systems. In this tutorial, we derive the consensus ADMM al
Externí odkaz:
http://arxiv.org/abs/2410.03753
In this paper, we depart from the widely-used gradient descent-based hierarchical federated learning (FL) algorithms to develop a novel hierarchical FL framework based on the alternating direction method of multipliers (ADMM). Within this framework,
Externí odkaz:
http://arxiv.org/abs/2409.18796
Many practical applications of optimal control are subject to real-time computational constraints. When applying model predictive control (MPC) in these settings, respecting timing constraints is achieved by limiting the number of iterations of the o
Externí odkaz:
http://arxiv.org/abs/2409.11351
In cell-free massive MIMO systems with multiple distributed access points (APs) serving multiple users over the same time-frequency resources, downlink beamforming is done through spatial precoding. Precoding vectors can be optimally designed to use
Externí odkaz:
http://arxiv.org/abs/2409.06106
Autor:
van Leeuwen, Steven, Kolmanovsky, Ilya
The paper considers a computational governor strategy to facilitate the implementation of Model Predictive Control (MPC) based on inexact optimization when the time available to compute the solution may be insufficient. In the setting of linear-quadr
Externí odkaz:
http://arxiv.org/abs/2411.07919
Autor:
Yuan, Ganzhao
We consider a class of structured fractional minimization problems, where the numerator includes a differentiable function, a simple nonconvex nonsmooth function, a concave nonsmooth function, and a convex nonsmooth function composed with a linear op
Externí odkaz:
http://arxiv.org/abs/2411.07496