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[ 原始碼: r-cran-rspectra  ]

套件: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 <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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下載可用於所有硬體架構的
硬體架構 套件大小 安裝後大小 檔案
amd64 363。0 kB1,468。0 kB [檔案列表]
arm64 332。6 kB1,312。0 kB [檔案列表]
armhf 307。1 kB1,033。0 kB [檔案列表]
i386 353。4 kB1,428。0 kB [檔案列表]