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dc.date.accessioned2010-08-19T12:10:45Z
dc.date.available2010-08-19T12:10:45Z
dc.date.issued2010
dc.identifier.uriurn:nbn:de:hebis:34-2010081934130
dc.identifier.urihttp://hdl.handle.net/123456789/2010081934130
dc.language.isoeng
dc.rightsUrheberrechtlich geschützt
dc.rights.urihttps://rightsstatements.org/page/InC/1.0/
dc.subjectLinear modelseng
dc.subjectMethod of Least Squareseng
dc.subjectsimple regressioneng
dc.subjectSteiner-theoremeng
dc.subjectorthogonal projectioneng
dc.subjectGram-Schmidt orthogonalizationeng
dc.subject.ddc510
dc.titleOn the relationship between the Method of Least Squares and Gram-Schmidt orthogonalizationeng
dc.typePreprint
dcterms.abstractThe method of Least Squares is due to Carl Friedrich Gauss. The Gram-Schmidt orthogonalization method is of much younger date. A method for solving Least Squares Problems is developed which automatically results in the appearance of the Gram-Schmidt orthogonalizers. Given these orthogonalizers an induction-proof is available for solving Least Squares Problems.eng
dcterms.accessRightsopen access
dcterms.creatorDrygas, Hilmar
dcterms.isPartOfMathematische Schriften Kassel ;; 10, 02ger
dcterms.source.journalMathematische Schriften Kasselger
dcterms.source.volume10, 02


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