r-cran-rspectra 0.16-0-1 source package in Ubuntu

Changelog

r-cran-rspectra (0.16-0-1) unstable; urgency=medium

  * New upstream version
  * debhelper-compat 12
  * Standards-Version: 4.4.1
  * Trim trailing whitespace.
  * Set upstream metadata fields: Archive, Bug-Database, Bug-Submit,
    Repository, Repository-Browse.

 -- Andreas Tille <email address hidden>  Sat, 07 Dec 2019 22:27:57 +0100

Upload details

Uploaded by:
Debian R Packages Maintainers on 2020-01-06
Uploaded to:
Sid
Original maintainer:
Debian R Packages Maintainers
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

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File Size SHA-256 Checksum
r-cran-rspectra_0.16-0-1.dsc 2.1 KiB 83504e1cc9bfd8b1804f9f2fe17d99df487f96afd170b2782e851f3bb745f4f5
r-cran-rspectra_0.16-0.orig.tar.gz 122.9 KiB aaf1cfc9ffe3a4c6684247899924e1c18306971dfef4bae1dc596a2fb42a64a9
r-cran-rspectra_0.16-0-1.debian.tar.xz 1.9 KiB bace5d88b896c9b293882df6b95267ef86ac3a2384c424db26dbe08a83c07247

Available diffs

No changes file available.

Binary packages built by this source

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.

r-cran-rspectra-dbgsym: debug symbols for r-cran-rspectra