Пакет: r-cran-rspectra (0.16-1-1)

[ Източник: r-cran-rspectra  ]

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.

Други пакети, свързани с r-cran-rspectra

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  или libblas.so.3

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• sug: r-cran-knitr

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armel	338,5 кБ	1 290,0 кБ	[списък на файловете]