| Name : R-RSpectra
| |
| Version : 0.16.2
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp156.1.1
| Date : 2024-09-10 02:46:29
|
| Group : Development/Libraries/Other
| Source RPM : R-RSpectra-0.16.2-lp156.1.1.src.rpm
|
| Size : 1.23 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Solvers for Large-Scale Eigenvalue and SVD Problems
|
Description :
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.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
