Algorithmic error estimation for approximate solutions of nonlinear systems of equations

Kioustelidis, JB

dc.contributor.author	Kioustelidis, JB	en
dc.date.accessioned	2014-03-01T01:05:40Z
dc.date.available	2014-03-01T01:05:40Z
dc.date.issued	1978	en
dc.identifier.issn	0010-485X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/8927
dc.subject.classification	Computer Science, Theory & Methods	en
dc.title	Algorithmic error estimation for approximate solutions of nonlinear systems of equations	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/BF02252029	en
heal.identifier.secondary	http://dx.doi.org/10.1007/BF02252029	en
heal.language	English	en
heal.publicationDate	1978	en
heal.abstract	A well known theorem by Bolzano states that, whenever a continuous real function changes sign in some interval, it must have a zero in this interval. The n-dimensional generalisation of this theorem, due to C. Miranda, is used for the construction of an error estimation procedure for approximate solutions of nonlinear systems of equations. © 1978 Springer-Verlag.	en
heal.publisher	Springer-Verlag	en
heal.journalName	Computing	en
dc.identifier.doi	10.1007/BF02252029	en
dc.identifier.isi	ISI:A1978EP95400004	en
dc.identifier.volume	19	en
dc.identifier.issue	4	en
dc.identifier.spage	313	en
dc.identifier.epage	320	en