Low-Rank Matrix Approximation Using the Lanczos Bidiagonalization Process with Applications
Author:
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Subject
Applied Mathematics,Computational Mathematics
Link
http://epubs.siam.org/doi/pdf/10.1137/S1064827597327309
Reference12 articles.
1. Large-Scale Sparse Singular Value Computations
2. A Lanczos Algorithm for Computing Singular Values and Vectors of Large Matrices
3. Calculating the Singular Values and Pseudo-Inverse of a Matrix
4. A Block Lanczos Method for Computing the Singular Values and Corresponding Singular Vectors of a Matrix
5. Truncated Singular Value Decomposition Solutions to Discrete Ill-Posed Problems with Ill-Determined Numerical Rank
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