Package: RSpectra 0.16-2
Yixuan Qiu
RSpectra: Solvers for Large-Scale Eigenvalue and SVD Problems
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:
RSpectra_0.16-2.tar.gz
RSpectra_0.16-2.tar.gz(r-4.7-arm64)RSpectra_0.16-2.tar.gz(r-4.7-x86_64)RSpectra_0.16-2.tar.gz(r-4.6-arm64)RSpectra_0.16-2.tar.gz(r-4.6-x86_64)
RSpectra_0.16-2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
RSpectra/json (API)
NEWS
| # Install 'RSpectra' in R: |
| install.packages('RSpectra', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/yixuan/rspectra/issues
Last updated from:e76cfdd175. Checks:6 OK. Indexed: no.
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Find a Specified Number of Eigenvalues/vectors of a Square Matrix | eigs eigs.dgCMatrix eigs.dgeMatrix eigs.dgRMatrix eigs.dsCMatrix eigs.dsRMatrix eigs.dsyMatrix eigs.function eigs.matrix eigs_sym eigs_sym.function |
| Find the Largest k Singular Values/Vectors of a Matrix | svds svds.dgCMatrix svds.dgeMatrix svds.dgRMatrix svds.dsCMatrix svds.dsRMatrix svds.dsyMatrix svds.function svds.matrix |
