Please use this identifier to cite or link to this item:
https://doi.org/10.1080/02331934.2011.611883
Title: | An alternating direction method for solving convex nonlinear semidefinite programming problems | Authors: | Zhang, S. Ang, J. Sun, J. |
Keywords: | alternating direction method convex semidefinite programming matrix completion variational inequalities |
Issue Date: | Apr-2013 | Citation: | Zhang, S., Ang, J., Sun, J. (2013-04). An alternating direction method for solving convex nonlinear semidefinite programming problems. Optimization 62 (4) : 527-543. ScholarBank@NUS Repository. https://doi.org/10.1080/02331934.2011.611883 | Abstract: | An alternating direction method is proposed for solving convex semidefinite optimization problems. This method only computes several metric projections at each iteration. Convergence analysis is presented and numerical experiments in solving matrix completion problems are reported. © 2013 Copyright Taylor and Francis Group, LLC. | Source Title: | Optimization | URI: | http://scholarbank.nus.edu.sg/handle/10635/116218 | ISSN: | 02331934 | DOI: | 10.1080/02331934.2011.611883 |
Appears in Collections: | Staff Publications |
Show full item record
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.