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Computing low-rank approximations of the Fréchet derivative of a matrix function using Krylov subspace methods.
Peter Kandolf
Antti Koskela
Samuel D. Relton
Marcel Schweitzer
Published in:
Numer. Linear Algebra Appl. (2021)
Keyphrases
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subspace methods
low rank approximation
singular value decomposition
low rank
face recognition
iterative algorithms
principal component analysis
missing data
kernel matrix
data sets
dimension reduction
spectral clustering