Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/13114
DC FieldValueLanguage
dc.contributor.authorDjukic D.en
dc.contributor.authorAtanackovic T.en
dc.date.accessioned2020-03-03T14:51:04Z-
dc.date.available2020-03-03T14:51:04Z-
dc.date.issued1980-01-01en
dc.identifier.issn0022247Xen
dc.identifier.urihttps://open.uns.ac.rs/handle/123456789/13114-
dc.description.abstractError bounds for a wide class of nonlinear one-dimensional boundary value problems are derived from a new extremum variational principle. A new least-squares approximate technique, based on a weighted mean square residual, is established. Also, the value of the weighted mean square residual and value of the classical mean square residual are used for error estimate. The results are illustrated by four examples. © 1980.en
dc.relation.ispartofJournal of Mathematical Analysis and Applicationsen
dc.titleError bounds via a new extremum variational principle, mean square residual and weighted mean square residualen
dc.typeJournal/Magazine Articleen
dc.identifier.doi10.1016/0022-247X(80)90316-9en
dc.identifier.scopus2-s2.0-0019010574en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/0019010574en
dc.relation.lastpage218en
dc.relation.firstpage203en
dc.relation.issue1en
dc.relation.volume75en
item.grantfulltextnone-
item.fulltextNo Fulltext-
Appears in Collections:FTN Publikacije/Publications
Show simple item record

SCOPUSTM   
Citations

19
checked on Jul 1, 2023

Page view(s)

16
Last Week
8
Last month
0
checked on May 10, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.