Package: r-cran-rspectra (0.16-2-1)

[ Source: r-cran-rspectra  ]

GNU R solvers for large-scale eigenvalue and SVD problems

This package provides a 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.

Other Packages Related to r-cran-rspectra

• dep: libblas3

  Basic Linear Algebra Reference implementations, shared library

  or libblas.so.3

  virtual package provided by libatlas3-base, libblas3, libblis4-openmp, libblis4-pthread, libblis4-serial, libopenblas0-openmp, libopenblas0-pthread, libopenblas0-serial

• dep: libc6 (>= 2.27)

  GNU C Library: Shared libraries
  also a virtual package provided by libc6-udeb

• dep: libgcc-s1 (>= 4.0)

  GCC support library

• dep: liblapack3

  Library of linear algebra routines 3 - shared version

  or liblapack.so.3

  virtual package provided by libatlas3-base, liblapack3, libopenblas0-openmp, libopenblas0-pthread, libopenblas0-serial

• dep: libstdc++6 (>= 14)

  GNU Standard C++ Library v3

• dep: r-api-4.0

  virtual package provided by r-base-core

• dep: r-cran-matrix (>= 1.1-0)

  GNU R package of classes for dense and sparse matrices

• dep: r-cran-rcpp (>= 0.11.5)

  GNU R package for Seamless R and C++ Integration

• dep: r-cran-rcppeigen (>= 0.3.3.3.0)

  GNU R package for Eigen templated linear algebra

• sug: r-cran-knitr

  GNU R package for dynamic report generation using Literate Programming

• sug: r-cran-rmarkdown

  convert R markdown documents into a variety of formats

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