| Name : R-RSpectra
| |
| Version : 0.15.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : 1.78
| Date : 2022-10-31 20:47:32
|
| Group : Development/Libraries/Other
| Source RPM : R-RSpectra-0.15.0-1.78.src.rpm
|
| Size : 1.21 MB
| |
| Packager : (none)
| |
| 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
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/released/openSUSE_Tumbleweed/i586 |
