PRIMME: Eigenvalues and Singular Values and Vectors from Large Matrices

R interface to 'PRIMME' <>, 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: 3.2-6
Imports: Rcpp (≥ 0.11.4), Matrix
LinkingTo: Rcpp, Matrix
Published: 2024-01-09
DOI: 10.32614/CRAN.package.PRIMME
Author: Eloy Romero [aut, cre], Andreas Stathopoulos [aut], Lingfei Wu [aut], College of William & Mary [cph]
Maintainer: Eloy Romero <eloy at>
License: GPL-3
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


Reference manual: PRIMME.pdf


Package source: PRIMME_3.2-6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): PRIMME_3.2-6.tgz, r-oldrel (arm64): PRIMME_3.2-6.tgz, r-release (x86_64): PRIMME_3.2-6.tgz, r-oldrel (x86_64): PRIMME_3.2-6.tgz
Old sources: PRIMME archive

Reverse dependencies:

Reverse imports: SpectralTAD, TADCompare
Reverse suggests: Rssa


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