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dc.contributor.authorYılmaz Çeven
dc.date.accessioned23.07.201910:49:13
dc.date.accessioned2019-07-23T16:20:33Z
dc.date.available23.07.201910:49:13
dc.date.available2019-07-23T16:20:33Z
dc.date.issued1999
dc.identifier.issn1300-1949
dc.identifier.urihttp://www.trdizin.gov.tr/publication/paper/detail/TXpRMU1UWTI=
dc.identifier.urihttps://hdl.handle.net/20.500.12418/1257
dc.description.abstractIn this paper, axial m-index assignment problem is reformulated as a linear programming problem and several algebraic characterizations of the coefficient matrix A of its problem are derived from known characterizations for singular value decomposition of a matrix. It is then shown that eigenvectors of the matrix $A^{+}A$ are characterized in terms of eigenvectors of the matrix $AA^T$, where $A^{+}$ is the Moore-Penrose inverse and $A^T$ is the transpose of the matrix A.en_US
dc.description.abstractIn this paper, axial m-index assignment problem is reformulated as a linear programming problem and several algebraic characterizations of the coefficient matrix A of its problem are derived from known characterizations for singular value decomposition of a matrix. It is then shown that eigenvectors of the matrix $A^{+}A$ are characterized in terms of eigenvectors of the matrix $AA^T$, where $A^{+}$ is the Moore-Penrose inverse and $A^T$ is the transpose of the matrix A.en_US
dc.language.isoengen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectMühendisliken_US
dc.subjectOrtak Disiplinleren_US
dc.titleSome results on the spectral decomposition of the axial m-index assignment problemen_US
dc.typeotheren_US
dc.relation.journalCumhuriyet Üniversitesi Fen-Edebiyat Fakültesi Fen Bilimleri Dergisien_US
dc.contributor.departmentSivas Cumhuriyet Üniversitesien_US
dc.identifier.volume21en_US
dc.identifier.issue2en_US
dc.identifier.endpage168en_US
dc.identifier.startpage161en_US
dc.relation.publicationcategoryDiğeren_US]


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