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 (>= 2.23)

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  also a virtual package provided by libc6-udeb

• dep: libgcc-s1 (>= 4.0)

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• dep: liblapack3

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  or liblapack.so.3

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

• dep: libstdc++6 (>= 14)

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• dep: r-api-4.0

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• dep: r-cran-matrix (>= 1.1-0)

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• dep: r-cran-rcpp (>= 0.11.5)

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

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• sug: r-cran-knitr

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• sug: r-cran-rmarkdown

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