Package: RSpectra
Type: Package
Title: Solvers for Large-Scale Eigenvalue and SVD Problems
Version: 0.14-0
Date: 2019-04-03
Authors@R: c(
person("Yixuan", "Qiu", , "yixuan.qiu@cos.name", c("aut", "cre")),
person("Jiali", "Mei", , "vermouthmjl@gmail.com", "aut",
comment = "Function interface of matrix operation"),
person("Gael", "Guennebaud", , "gael.guennebaud@inria.fr", "ctb",
comment = "Eigenvalue solvers from the 'Eigen' library"),
person("Jitse", "Niesen", , "jitse@maths.leeds.ac.uk", "ctb",
comment = "Eigenvalue solvers from the 'Eigen' library")
)
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.
License: MPL (>= 2)
URL: https://github.com/yixuan/RSpectra
BugReports: https://github.com/yixuan/RSpectra/issues
Depends: R (>= 3.0.2)
Imports: Matrix (>= 1.1-0), Rcpp (>= 0.11.5)
Suggests: knitr, rmarkdown, prettydoc
LinkingTo: Rcpp, RcppEigen (>= 0.3.2.2.0)
VignetteBuilder: knitr, rmarkdown, prettydoc
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-04-04 02:16:28 UTC; rho
Author: Yixuan Qiu [aut, cre],
Jiali Mei [aut] (Function interface of matrix operation),
Gael Guennebaud [ctb] (Eigenvalue solvers from the 'Eigen' library),
Jitse Niesen [ctb] (Eigenvalue solvers from the 'Eigen' library)
Maintainer: Yixuan Qiu <yixuan.qiu@cos.name>
Repository: CRAN
Date/Publication: 2019-04-04 04:50:03 UTC

Package: RSpectra
Type: Package
Title: Solvers for Large-Scale Eigenvalue and SVD Problems
Version: 0.15-0
Date: 2019-06-10
Authors@R: c(
person("Yixuan", "Qiu", , "yixuan.qiu@cos.name", c("aut", "cre")),
person("Jiali", "Mei", , "vermouthmjl@gmail.com", "aut",
comment = "Function interface of matrix operation"),
person("Gael", "Guennebaud", , "gael.guennebaud@inria.fr", "ctb",
comment = "Eigenvalue solvers from the 'Eigen' library"),
person("Jitse", "Niesen", , "jitse@maths.leeds.ac.uk", "ctb",
comment = "Eigenvalue solvers from the 'Eigen' library")
)
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.
License: MPL (>= 2)
URL: https://github.com/yixuan/RSpectra
BugReports: https://github.com/yixuan/RSpectra/issues
Depends: R (>= 3.0.2)
Imports: Matrix (>= 1.1-0), Rcpp (>= 0.11.5)
Suggests: knitr, rmarkdown, prettydoc
LinkingTo: Rcpp, RcppEigen (>= 0.3.3.3.0)
VignetteBuilder: knitr, rmarkdown
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-06-10 19:19:24 UTC; qyx
Author: Yixuan Qiu [aut, cre],
Jiali Mei [aut] (Function interface of matrix operation),
Gael Guennebaud [ctb] (Eigenvalue solvers from the 'Eigen' library),
Jitse Niesen [ctb] (Eigenvalue solvers from the 'Eigen' library)
Maintainer: Yixuan Qiu <yixuan.qiu@cos.name>
Repository: CRAN
Date/Publication: 2019-06-11 04:30:26 UTC