Erbay, Hasan2020-06-252020-06-252005closedAccess90-6764-425-01573-4196https://hdl.handle.net/20.500.12587/3570International e-Conference on Computer Science -- MAY 19-31, 2005 -- ELECTR NETWORKErbay, Hasan/0000-0002-7555-541XA truncated ULV decomposition (TULVD) of an m x n matrix A of rank k is a decomposition of the form A = U1LV1T + E, where U-1 and V-1 are left orthogonal matrices, L is a lower triangular matrix and E is an error matrix. We present an updating algorithm of order O (nk) that reveals the rank correctly and produces good approximation to the subspaces of the matrix A.eninfo:eu-repo/semantics/closedAccessULV decompositionrank estimationsubspace estimationConference Object24650WOS:000238287800011N/A