PRIMME: Eigenvalues and Singular Values and Vectors from Large Matrices

R interface to 'PRIMME' <http://www.cs.wm.edu/~andreas/software>, a C library for computing a few eigenvalues and their corresponding eigenvectors of a real symmetric or complex Hermitian matrix, or generalized Hermitian eigenproblem. It can also compute singular values and vectors of a square or rectangular matrix. 'PRIMME' finds largest, smallest, or interior singular/eigenvalues and can use preconditioning to accelerate convergence. General description of the methods are provided in the papers Stathopoulos (2010, <doi:10.1145/1731022.1731031>) and Wu (2017, <doi:10.1137/16M1082214>). See 'citation("PRIMME")' for details.

Version: 3.1-1
Imports: Rcpp
LinkingTo: Rcpp, Matrix
Suggests: Matrix
Published: 2020-05-26
Author: Eloy Romero [aut, cre], Andreas Stathopoulos [aut], College of William & Mary [cph]
Maintainer: Eloy Romero <eloy at cs.wm.edu>
BugReports: https://github.com/primme/primme/issues
License: GPL-3
URL: http://www.cs.wm.edu/~andreas/software https://github.com/primme/primme
NeedsCompilation: yes
SystemRequirements: A POSIX system. Currently Linux and OS X are known to work. GNU make.
Citation: PRIMME citation info
Materials: README
In views: NumericalMathematics
CRAN checks: PRIMME results

Downloads:

Reference manual: PRIMME.pdf
Package source: PRIMME_3.1-1.tar.gz
Windows binaries: r-devel: PRIMME_3.1-1.zip, r-release: PRIMME_3.1-1.zip, r-oldrel: PRIMME_3.1-1.zip
macOS binaries: r-release: PRIMME_3.1-1.tgz, r-oldrel: PRIMME_3.1-1.tgz
Old sources: PRIMME archive

Reverse dependencies:

Reverse imports: SpectralTAD
Reverse suggests: Rssa

Linking:

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