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Using semiseparable matrices to compute the SVD of a general matrix product/quotient.
Marc Van Barel
Yvette Vanberghen
Paul Van Dooren
Published in:
J. Comput. Appl. Math. (2010)
Keyphrases
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singular value decomposition
singular values
data matrix
special case
linear algebra
reconstruction error
square matrices
coefficient matrix
low rank
life cycle
machine intelligence
dimensionality reduction
rows and columns
singular vectors
least squares
matrix completion
principal component analysis
block diagonal