Package: r-cran-rspectra (0.16-2-1) [debports]

[ Source:  ]

GNU R solvers for large-scale eigenvalue and SVD problems

This package provides a R interface to the 'Spectra' library <https://spectralib.org/> 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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• dep: libblas3

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  or libblas.so.3

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• dep: libc6 (>= 2.11)

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• dep: libgcc-s2 (>= 4.2.1)

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  or liblapack.so.3

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• dep: libstdc++6 (>= 13.1)

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• dep: r-api-4.0

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• dep: r-cran-matrix (>= 1.1-0)

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• dep: r-cran-rcpp (>= 0.11.5)

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Download r-cran-rspectra

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Architecture	Package Size	Installed Size	Files
m68k (unofficial port)	367.4 kB	1,384.0 kB	[list of files]