Comments (2)
yixuan
commented on September 15, 2024
Hi @jkflying, this setting is intentional, since the algorithm itself relies on it. You may find some cases where all eigenvalues can be computed, but the convergence is not guaranteed, as what you have reported in #23.
I think it should be straightforward to use an if condition to branch the cases and use Eigen::SelfAdjointEigenSolver for certain scenarios, especially when nev is larger than N/2.
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jkflying
commented on September 15, 2024
Thanks for the feedback. I guess this is just a limitation of the algorithm.
from spectra.
Related Issues (20)
- Eigen decomposition failing on a real symmetric (Laplacian) matrix HOT 3
- Spectra doesn't accept non-literal data types anymore HOT 2
- SymGEigsSolver does not produce an orthonormal system of EigenVectors HOT 4
- Spectra as a practical ARPACK replacement HOT 1
- Support eigenvalue condition number
- difficulty in linking spectra header to visual studio 2022 preventing Build HOT 1
- compilation issues with the 'Spectra::SymEigsSolver' constructor. The error message is... HOT 2
- Silence error while solving the eigenvalues of a 2-by-2 matrix. HOT 5
- Issue with low-rank matrices HOT 5
- Limit of the matrix size for sparse Eigendecomposition; memory or CPU? HOT 2
- expanded application of Spectra to complex-valued matrices: problem of inequality signs in Arnoldi.h HOT 3
- ArnoldiOp.h, negative vnorm HOT 2
- Eigen value and generalized eigen value of a Super Big Size Real Matrix(160000*160000) , Help!
- GenEigsComplexShiftSolver compilation error; std::complex is being instantiated with std::complex<double> HOT 3
- Puzzling performance with Spectra when solving a general eigen for large sparse matrix (real symmetric both L and M)
- How does spectra compare to Matlab eigs
- Support for complex-valued matrices
- build failed on epel-9 ppc64le, `/usr/include/eigen3/Eigen/src/Core/arch/AltiVec/MatrixProductCommon.h:215:28: error: inlining failed in call to 'always_inline' 'Eigen::internal::ploadRhs<float, float __vector(4)>(float const*)float __vector(4)': target specific option mismatch`
- Generalized Eigenvalue - Support for positive semi-definite but singular matrices
- Shift-and-invert mode wrong result compared to Matlab HOT 1
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