软件包:r-cran-rspectra(0.16-2-1) [debports]
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.
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- dep: libblas3
- Basic Linear Algebra Reference implementations, shared library
- 或者 libblas.so.3
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- dep: libc6 (>= 2.11)
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同时作为一个虚包由这些包填实: libc6-udeb
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- dep: libgcc-s1 (>= 4.0)
- GCC 支持库
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- dep: liblapack3
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- 或者 liblapack.so.3
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- GNU 标准 C++ 库,第3版
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- dep: r-cran-matrix (>= 1.1-0)
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- dep: r-cran-rcppeigen (>= 0.3.3.3.0)
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