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yixuan
RSpectra:Solvers for Large-Scale Eigenvalue and SVD Problems
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.
Maintained by Yixuan Qiu. Last updated 9 months ago.
eigenvaluesspectrasvdopenblascpp
81 stars 12.40 score 394 scripts 433 dependents
pachadotdev
economiccomplexity:Computational Methods for Economic Complexity
A wrapper of different methods from Linear Algebra for the equations introduced in The Atlas of Economic Complexity and related literature. This package provides standard matrix and graph output that can be used seamlessly with other packages. See <doi:10.21105/joss.01866> for a summary of these methods and its evolution in literature.
Maintained by Mauricio Vargas Sepulveda. Last updated 4 months ago.
economic-complexityeigenvalueseigenvectorsgraphsinternational-tradematrixnetworksrecursive-algorithmopenblascppopenmp
39 stars 6.32 score 18 scripts