R interface to the 'Spectra' library <http://yixuan.cos.name/spectra/> 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 which 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. Matrices can be given in either dense or sparse form.
[email protected]_2 low health (52/100) — consider alternatives
Get this data programmatically — free, no authentication.
curl https://depscope.dev/api/check/conda/r-rspectraFirst published · 2021-05-24 03:31:34.189000+00:00
Last updated · 2025-09-10 11:26:14.447000+00:00