A novel method for a class of structured low-rank minimizations with equality constraint
type: Item
instance of: scholarly article
title: A novel method for a class of structured low-rank minimizations with equality constraint
zbMATH Open document ID: 1376.65092
author: Jianchao Bai
author: Jicheng Li
author: Feng-Min Xu
author: Ping-Fan Dai
published in: Journal of Computational and Applied Mathematics
publication date: 2017-11-03T00:00:00Z
Mathematics Subject Classification ID: 65K05
Mathematics Subject Classification ID: 90C25
Mathematics Subject Classification ID: 90C22
zbMATH DE Number: 6802844
zbMATH Keywords: low-rank
zbMATH Keywords: equality constraint
zbMATH Keywords: positive semidefinite constraint
zbMATH Keywords: accelerated augmented Lagrangian method
zbMATH Keywords: matrix optimization problems
zbMATH Keywords: convergence
zbMATH Keywords: numerical experiments
MaRDI profile type: Publication
full work available at URL: j.cam.2017.09.021
OpenAlex ID: W2756045499
cites work: On the low rank solution of the Q‐weighted nearest correlation matrix problem
cites work: Local minima and convergence in low-rank semidefinite programming
cites work: Q3368669
cites work: Low rank approximation of the symmetric positive semidefinite matrix
cites work: Penalty decomposition methods for rank minimization
cites work: On rank-constrained Hermitian nonnegative-definite least squares solutions to the matrix equationAXAH=B
cites work: Accelerated Bregman method for linearly constrained \(\ell _1-\ell _2\) minimization
cites work: Q5599348
cites work: Variational Analysis
cites work: Efficient rank reduction of correlation matrices
cites work: On the global convergence of the BFGS method for nonconvex unconstrained optimization problems
cites work: A majorization algorithm for constrained correlation matrix approximation
cites work: On the generalized low rank approximation of the correlation matrices arising in the asset portfolio
cites work: On the information in the interest rate term structure and option prices
cites work: Computing the nearest correlation matrix--a problem from finance
cites work: A class of weighted low rank approximation of the positive semidefinite Hankel matrix
DOI: 10.1016/J.CAM.2017.09.021
description: scientific article; zbMATH DE number 6802844