Nonsmooth optimization algorithm for solving clusterwise linear regression problems

Bagirov, Adil M, Ugon, Julien and Mirzayeva, Hijran G 2015, Nonsmooth optimization algorithm for solving clusterwise linear regression problems, Journal of optimization theory and applications, vol. 164, no. 3, pp. 755-780, doi: 10.1007/s10957-014-0566-y.

Attached Files
Name Description MIMEType Size Downloads

Title Nonsmooth optimization algorithm for solving clusterwise linear regression problems
Author(s) Bagirov, Adil M
Ugon, JulienORCID iD for Ugon, Julien orcid.org/0000-0001-5290-8051
Mirzayeva, Hijran G
Journal name Journal of optimization theory and applications
Volume number 164
Issue number 3
Start page 755
End page 780
Total pages 26
Publisher Springer
Place of publication Cham, Switzerland
Publication date 2015-03
ISSN 0022-3239
1573-2878
Keyword(s) nonsmooth optimization
nonconvex optimization
clusterwise linear regression
discrete gradient method
science & technology
technology
physical sciences
operations research & management science
mathematics, applied
mathematics
Language eng
DOI 10.1007/s10957-014-0566-y
Field of Research 0102 Applied Mathematics
0103 Numerical And Computational Mathematics
0906 Electrical And Electronic Engineering
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2014, Springer Science+Business Media New York
Persistent URL http://hdl.handle.net/10536/DRO/DU:30112909

Document type: Journal Article
Collection: School of Information Technology
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 4 times in TR Web of Science
Scopus Citation Count Cited 4 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 9 Abstract Views, 3 File Downloads  -  Detailed Statistics
Created: Mon, 01 Oct 2018, 16:58:17 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.