Full Text:
<382>
CLC number:
On-line Access: 2022-11-19
Received: 2022-09-07
Revision Accepted: 2022-10-28
Crosschecked: 0000-00-00
Cited: 0
Clicked: 323
Matrix-valued distributed stochastic optimization with constraints
| |||||||||||||
Zicong XIA, Yang LIU, Wenlian LU, Weihua GUI. Matrix-valued distributed stochastic optimization with constraints[J]. Frontiers of Information Technology & Electronic Engineering, 1998, -1(-1): .
@article{title="Matrix-valued distributed stochastic optimization with constraints",
author="Zicong XIA, Yang LIU, Wenlian LU, Weihua GUI",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="-1",
number="-1",
pages="",
year="1998",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2200381"
}
%0 Journal Article
%T Matrix-valued distributed stochastic optimization with constraints
%A Zicong XIA
%A Yang LIU
%A Wenlian LU
%A Weihua GUI
%J Journal of Zhejiang University SCIENCE C
%V -1
%N -1
%P
%@ 2095-9184
%D 1998
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2200381
TY - JOUR
T1 - Matrix-valued distributed stochastic optimization with constraints
A1 - Zicong XIA
A1 - Yang LIU
A1 - Wenlian LU
A1 - Weihua GUI
J0 - Journal of Zhejiang University Science C
VL - -1
IS - -1
SP -
EP -
%@ 2095-9184
Y1 - 1998
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.2200381
Abstract: In this paper, we address matrix-valued distributed stochastic optimization with inequality and equality constraints, where the objective function is a sum of multiple matrix-valued functions with stochastic variables and the considered problems are solved in a distributed manner. A penalty method is derived to deal with the constraints, and a selection principle is proposed for choosing feasible penalty functions and penalty gains. A distributed optimization algorithm based on the gossip model is developed for solving the stochastic optimization problem, and its convergence to the optimal solution is analyzed rigorously. Two numerical examples are delineated to demonstrate the viability of the main results.
Open peer comments: Debate/Discuss/Question/Opinion
<1>