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[ Source: r-cran-rspectra  ]

Package: r-cran-rspectra (0.13-1-1)

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GNU R solvers for large-scale eigenvalue and SVD problems

This package provides a R interface to the 'Spectra' library <> for large-scale eigenvalue and SVD problems. It is typically used to compute a few eigenvalues/vectors of an n by n matrix, e.g., the k largest eigenvalues, which is usually more efficient than eigen() if k << n. This package provides the 'eigs()' function that does the similar job as in 'Matlab', 'Octave', 'Python SciPy' and 'Julia'. It also provides the 'svds()' function to calculate the largest k singular values and corresponding singular vectors of a real matrix. The matrix to be computed on can be dense, sparse, or in the form of an operator defined by the user.

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Architecture Package Size Installed Size Files
amd64 363.0 kB1,468.0 kB [list of files]
arm64 332.6 kB1,312.0 kB [list of files]
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