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20092026
most citedMulti-Agent Distributed Optimization via Inexact Consensus ADMM

464 citations

Showing 2014Show all

6 papers · 1 filter

math.GR2014★ 148 cited

A direct algorithm of one-dimensional optimal system for the group invariant solutions

Xiaorui Hu, Yuqi Li, Yong Chen

A direct and systematic algorithm is proposed to find one-dimensional optimal system for the group invariant solutions, which is attributed to the classification of its correspondi…

cs.SE2014★ 8 cited

Formal Semantic Annotations for Models Interoperability in a PLM environment

Y. Liao, M. Lezoche, H. Panetto +2

Nowadays, the need for system interoperability in or across enterprises has become more and more ubiquitous. Lots of research works have been carried out in the information exchang…

nlin.SI2014★ 7 cited

Nanopteron solution of the Korteweg-de Vries equation

Jian-Yong Wang, Xiao-Yan Tang, S. Y. Lou +2

The nanopteron, which is a permanent but weakly nonlocal soliton, has been an interesting topic in numerical study for many decades. However, analytical solution of such a special…

nlin.SI2014★ 2 cited

Nonlocal conservation laws and related Bäcklund transformations via reciprocal transformations

Sen-Yue Lou

A set of infinitely many nonlocal conservation laws are revealed for (1+1)-dimensional evolution equations. For some special known integrable systems, say, the KdV and Dym equation…

eess.SY2014★ 464 cited

Multi-Agent Distributed Optimization via Inexact Consensus ADMM

Tsung-Hui Chang, Mingyi Hong, Xiangfeng Wang

Multi-agent distributed consensus optimization problems arise in many signal processing applications. Recently, the alternating direction method of multipliers (ADMM) has been used…

math.OC2014★ 65 cited

A Block Successive Upper Bound Minimization Method of Multipliers for Linearly Constrained Convex Optimization

Mingyi Hong, Tsung-Hui Chang, Xiangfeng Wang +3

Consider the problem of minimizing the sum of a smooth convex function and a separable nonsmooth convex function subject to linear coupling constraints. Problems of this form arise…