套件:r-cran-rspectra(0.16-2-1)
r-cran-rspectra 的相關連結
Debian 的資源:
下載原始碼套件 r-cran-rspectra:
- [r-cran-rspectra_0.16-2-1.dsc]
- [r-cran-rspectra_0.16-2.orig.tar.gz]
- [r-cran-rspectra_0.16-2-1.debian.tar.xz]
維護小組:
外部的資源:
- 主頁 [cran.r-project.org]
相似套件:
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.
其他與 r-cran-rspectra 有關的套件
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- dep: libblas3
- Basic Linear Algebra Reference implementations, shared library
- 或者 libblas.so.3
- 本虛擬套件由這些套件填實: libatlas3-base, libblas3, libblis4-openmp, libblis4-pthread, libblis4-serial, libopenblas0-openmp, libopenblas0-pthread, libopenblas0-serial
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- dep: libc6 (>= 2.11)
- GNU C 函式庫:共用函式庫
同時作為一個虛擬套件由這些套件填實: libc6-udeb
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- dep: libgcc-s1 (>= 4.0)
- GCC 支援函式庫
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- dep: liblapack3
- Library of linear algebra routines 3 - shared version
- 或者 liblapack.so.3
- 本虛擬套件由這些套件填實: libatlas3-base, liblapack3, libopenblas0-openmp, libopenblas0-pthread, libopenblas0-serial
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- dep: libstdc++6 (>= 14)
- GNU Standard C++ Library v3
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- dep: r-api-4.0
- 本虛擬套件由這些套件填實: r-base-core
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- dep: r-cran-matrix (>= 1.1-0)
- GNU R package of classes for dense and sparse matrices
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- dep: r-cran-rcpp (>= 0.11.5)
- GNU R package for Seamless R and C++ Integration
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- dep: r-cran-rcppeigen (>= 0.3.3.3.0)
- GNU R package for Eigen templated linear algebra
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- sug: r-cran-knitr
- GNU R package for dynamic report generation using Literate Programming
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- sug: r-cran-rmarkdown
- convert R markdown documents into a variety of formats