Nonlinear least squares method

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dc.creatorJaromír Máca
dc.creatorBohus Leitner
dc.date1999-06-30
dc.date.accessioned2022-06-16T14:03:31Z
dc.date.available2022-06-16T14:03:31Z
dc.descriptionThe paper deals with a comparison of linear and nonlinear least squares approximation. Its aim is to show that the well known transformations of nonlinear dependencies on linear dependencies do not always give exact results. Therefore, the only right possibility of approximation of nonlinear functions is to use one of nonlinear least squares procedures. The Levenberg - Marquardt compromise seems to be by far the best one.
dc.formattext/html
dc.formatapplication/pdf
dc.identifier13354205
dc.identifier25857878
dc.identifier10.26552/com.C.1999.2.52-58
dc.identifierhttps://komunikacie.uniza.sk/artkey/csl-199902-0007_nonlinear-least-squares-method.php
dc.identifier.urihttp://drepo.uniza.sk/xmlui/handle/hdluniza/602
dc.languageen
dc.publisherCommunications - Scientific Letters of the University of Zilina
dc.relationhttps://komunikacie.uniza.sk/magno/csl/1999/mn2.php
dc.subjectno keywords
dc.titleNonlinear least squares method
dc.typejournal article

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