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I actually came back to this package because I found https://github.com/JLTastet/TakagiFactorization.jl (LGPL3), based on https://arxiv.org/pdf/physics/0607103.pdf, which uses the Jacobi iterations, but different 2x2 kernels to compute the eigendecomposition, Takagi, SVD etc. I need the full (dense) eigendecomposition of a complex symmetric matrix (absorbing boundary conditions leads to these kind of matrices), and I wondered if such methods could have a place here? Specifically, the matrix is a SymTridiagonal{<:Complex}, so it seems some nice special-casing could be done.
The text was updated successfully, but these errors were encountered:
I actually came back to this package because I found https://github.com/JLTastet/TakagiFactorization.jl (LGPL3), based on https://arxiv.org/pdf/physics/0607103.pdf, which uses the Jacobi iterations, but different 2x2 kernels to compute the eigendecomposition, Takagi, SVD etc. I need the full (dense) eigendecomposition of a complex symmetric matrix (absorbing boundary conditions leads to these kind of matrices), and I wondered if such methods could have a place here? Specifically, the matrix is a
SymTridiagonal{<:Complex}
, so it seems some nice special-casing could be done.The text was updated successfully, but these errors were encountered: