Login / Signup
The Krylov Subspaces, Low Rank Approximations and Ritz Values of LSQR for Linear Discrete Ill-Posed Problems: the Multiple Singular Value Case.
Zhongxiao Jia
Published in:
CoRR (2020)
Keyphrases
</>
singular values
singular value decomposition
low rank approximation
principal component analysis
high dimensional
higher order
least squares
high dimensional data
small number
dimensionality reduction