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We consider a streaming data model in which n sensors observe individual streams of data, presented in a turnstile model.
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H. Rutishauser · 1969
Earlier work this paper cites.
The evaluation of eigenvalues and eigenvectors of real symmetric matrices by simultaneous iteration
M. Clint and A. Jennings · 1970
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The rotation of eigenvectors by a perturbation, III
C. Davis and W. M. Kahan · 1970
Earlier work this paper cites.
Computing accurate eigensystems of scaled diagonally dominant matrices
J. Barlow and J. Demmel · 1980
Earlier work this paper cites.
Relative perturbation techniques for singular value problems
S. C. Eisenstat and I. C. F. Ipsen · 1995
Earlier work this paper cites.
Matrix Computations (Johns Hopkins Studies in Mathematical Sciences)(3rd Edition)
G. H. Golub and C. F. van Van Loan · 1996
Earlier work this paper cites.
Relative perturbation theory: (II) Eigenspace and singular subspace variations
R. Li · 1996
Earlier work this paper cites.
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F. Chung · 1997
Earlier work this paper cites.
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A relative perturbation bound for positive definite matrices
R. Mathias and K. Veselić · 1998
Earlier work this paper cites.
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Earlier work this paper cites.
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