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[ 原始碼: r-cran-rspectra  ]

套件:r-cran-rspectra(0.16-2-1)

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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 417。1 kB1,581。0 kB [檔案列表]
arm64 380。4 kB1,465。0 kB [檔案列表]
armel 379。5 kB1,447。0 kB [檔案列表]
armhf 360。9 kB1,143。0 kB [檔案列表]
i386 404。1 kB1,530。0 kB [檔案列表]
mips64el 351。8 kB1,574。0 kB [檔案列表]
ppc64el 463。5 kB1,849。0 kB [檔案列表]
riscv64 391。8 kB1,242。0 kB [檔案列表]
s390x 421。6 kB1,633。0 kB [檔案列表]