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Efficient low-rank approximation of the stochastic Galerkin matrix in tensor formats.
Mike Espig
Wolfgang Hackbusch
Alexander Litvinenko
Hermann G. Matthies
Philipp Wähnert
Published in:
Comput. Math. Appl. (2014)
Keyphrases
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low rank approximation
singular value decomposition
kernel matrix
low rank matrix approximation
low rank
partial differential equations
feature selection
subspace learning
data representation
positive definite
low rank matrices