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Pakket: 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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Pakket downloaden voor alle beschikbare platforms
Platform Pakketgrootte Geïnstalleerde grootte Bestanden
amd64 379,5 kB1.436,0 kB [overzicht]
arm64 347,7 kB1.308,0 kB [overzicht]
armel 338,5 kB1.290,0 kB [overzicht]
armhf 323,3 kB1.050,0 kB [overzicht]
i386 369,5 kB1.397,0 kB [overzicht]
mips64el 323,6 kB1.442,0 kB [overzicht]
mipsel 327,8 kB1.425,0 kB [overzicht]
ppc64el 399,0 kB1.656,0 kB [overzicht]
s390x 349,4 kB1.408,0 kB [overzicht]