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[ 原始碼: r-cran-rspectra  ]

套件:r-cran-rspectra(0.16-1-1)

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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 r-cran-rspectra

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 379。5 kB1,436。0 kB [檔案列表]
arm64 347。7 kB1,308。0 kB [檔案列表]
armel 338。5 kB1,290。0 kB [檔案列表]
armhf 323。3 kB1,050。0 kB [檔案列表]
i386 369。5 kB1,397。0 kB [檔案列表]
mips64el 323。6 kB1,442。0 kB [檔案列表]
ppc64el 399。0 kB1,656。0 kB [檔案列表]
s390x 349。4 kB1,408。0 kB [檔案列表]