On the relationship between the Method of Least Squares and Gram-Schmidt orthogonalization
dc.date.accessioned | 2010-08-19T12:10:45Z | |
dc.date.available | 2010-08-19T12:10:45Z | |
dc.date.issued | 2010 | |
dc.identifier.uri | urn:nbn:de:hebis:34-2010081934130 | |
dc.identifier.uri | http://hdl.handle.net/123456789/2010081934130 | |
dc.language.iso | eng | |
dc.rights | Urheberrechtlich geschützt | |
dc.rights.uri | https://rightsstatements.org/page/InC/1.0/ | |
dc.subject | Linear models | eng |
dc.subject | Method of Least Squares | eng |
dc.subject | simple regression | eng |
dc.subject | Steiner-theorem | eng |
dc.subject | orthogonal projection | eng |
dc.subject | Gram-Schmidt orthogonalization | eng |
dc.subject.ddc | 510 | |
dc.title | On the relationship between the Method of Least Squares and Gram-Schmidt orthogonalization | eng |
dc.type | Preprint | |
dcterms.abstract | The 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.accessRights | open access | |
dcterms.creator | Drygas, Hilmar | |
dcterms.isPartOf | Mathematische Schriften Kassel ;; 10, 02 | ger |
dcterms.source.journal | Mathematische Schriften Kassel | ger |
dcterms.source.volume | 10, 02 |