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This repository was archived by the owner on Sep 11, 2023. It is now read-only.
In msm.analysis.(dense/sparse).decomposition, we have successfully used the reversible-option in eigenvalues in order to quickly compute eigenvalues of reversible matrices. Extend this functionality to eigenvector and RDL decomposition. The right/left eigenvectors can be computed from the eigenvectors of the symmetrized matrix by multiplying them by 1/sqrt(pi) or sqrt(pi), respectively.
In msm.analysis.(dense/sparse).decomposition, we have successfully used the reversible-option in eigenvalues in order to quickly compute eigenvalues of reversible matrices. Extend this functionality to eigenvector and RDL decomposition. The right/left eigenvectors can be computed from the eigenvectors of the symmetrized matrix by multiplying them by 1/sqrt(pi) or sqrt(pi), respectively.