Sparse symmetric rank-revealing decompositions



AbstractThis thesis investigates the possibility of a sparse symmetric rank-revealing VSV decomposition. Rank-revealing decompositions of both general and symmetric rank-deficient matrices are described, as well as the numerical tools used in these. The cause of fill in the VSV decomposition is investigated, and numerical experiments with possible sparsity optimizations are discussed. Drop-tolerances in the estimated singular vectors are described as a tool in obtaining a sparse decomposition.
KeywordsSparse VSV decomposition, norm and condition estimation, ordering schemes, sparse factorizations and drop-tolerances
TypeMaster's thesis [Academic thesis]
Year2002
PublisherInformatics and Mathematical Modelling, Technical University of Denmark, DTU
AddressRichard Petersens Plads, Building 321, DK-2800 Kgs. Lyngby
SeriesIMM-THESIS-2002-73
NoteSupervisor: Per Christian Hansen
Electronic version(s)[zip]
BibTeX data [bibtex]
IMM Group(s)Scientific Computing