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View Code? Open in Web Editor NEWA header-only C++ redesign of ARPACK using the Eigen library
A header-only C++ redesign of ARPACK using the Eigen library
Suppose if I were to compute eigenvalues by setting SELECT_EIGENVALUE::SMALLEST_ALGE, I still get eigenvalues arranged in largest magnitude. I had to change the following:
//SortEigenvalue<Scalar, LARGEST_MAGN> sorting(ritz_val.data(), nev);
SortEigenvalue<Scalar, SelectionRule> sorting(ritz_val.data(), nev);
in SymEigsSolver.h
Hi Yixuan
Do you have any examples for using Sparse matrices?
Can you extend the code to solve Generalized eigenvalue problems
L\nu = \lambda W \nu
Currently, if I have to solve this, then, I would have to convert this to a standard eigenvalue problem, like,
W^{-1} * L \nu = \lambda \nu
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