Last data update: 2014.03.03

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irlba (Package: irlba) : Find a few approximate largest singular values and corresponding

The augmented implicitly restarted Lanczos bi-diagonalization (IRLBA) algorithm finds a few approximate largest singular values and corresponding singular vectors of a sparse or dense matrix using a method of Baglama and Reichel. It is a fast and memory-efficient way to compute a partial SVD.
● Data Source: CranContrib
● Keywords:
● Alias: irlba
● 0 images

partial_eigen (Package: irlba) : Find a few approximate largest eigenvalues and corresponding eigenvectors of a symmetric matrix.

Use partial_eigen to estimate a subset of the largest (most positive) eigenvalues and corresponding eigenvectors of a symmetric dense or sparse real-valued matrix.
● Data Source: CranContrib
● Keywords:
● Alias: partial_eigen
● 0 images