# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "RSpectra" in publications use:'
type: software
license: MPL-2.0
title: 'RSpectra: Solvers for Large-Scale Eigenvalue and SVD Problems'
version: 0.16-2
doi: 10.32614/CRAN.package.RSpectra
abstract: 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.
authors:
- family-names: Qiu
  given-names: Yixuan
  email: yixuan.qiu@cos.name
- family-names: Mei
  given-names: Jiali
  email: vermouthmjl@gmail.com
repository: https://CRAN.R-project.org/package=RSpectra
repository-code: https://github.com/yixuan/RSpectra
url: https://github.com/yixuan/RSpectra
date-released: '2024-07-18'
contact:
- family-names: Qiu
  given-names: Yixuan
  email: yixuan.qiu@cos.name