Multiparametric Curve Fitting 14. Modus-Operandi Of The Least-Squares Algorithm Minopt

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dc.contributor.author Militký, Jiří
dc.contributor.author Meloun, Milan
dc.date.accessioned 2016-07-08
dc.date.available 2016-07-08
dc.date.issued 1993
dc.identifier.issn 0039-9140
dc.identifier.uri https://dspace.tul.cz/handle/15240/16555
dc.description.abstract Hybrid least-squares algorithm MINOPT for a nonlinear regression is introduced. MINOPT from CHEMSTAT package combines fast convergence of the Gauss-Newton method in a vicinity of minimum with good convergence of gradient methods for location far from a minimum. Quality of minimization and an accuracy of parameter estimates for six selected models are examined and compared with different derivative least-squares methods of five commercial regression packages. en
dc.format text
dc.language.iso en
dc.publisher Elsevier Science Bv
dc.relation.ispartof Talanta
dc.source j-scopus
dc.source j-wok
dc.title Multiparametric Curve Fitting 14. Modus-Operandi Of The Least-Squares Algorithm Minopt en
dc.title.alternative Multiparametric curve fitting XIV. Modus operandi of the least-squares algorithm MINOPT en
dc.type article
dc.identifier.doi 10.1016/0039-9140(93)80333-M
local.relation.volume 40
local.relation.issue 2
local.identifier.wok A1993KU30900026
local.identifier.scopus 2-s2.0-0039211950
local.faculty Faculty of Textile Engineering
local.citation.spage 269
local.citation.epage 277
local.identifier.pubmed 18965627
local.department Department of Textile Materials
local.access access
local.fulltext yes
local.note nefunguje RIV


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