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A SkewHermTridiagonal matrix can be transformed into a complex SymTridiagonal by unitary transformation but LAPACK provides no solver for complex symmetric tridiagonal matrices. Maybe implementing my own QR-algorithm would be worth since the matrix is already tridiagonal. It could certainly outperform hermitian eigensolvers.
SkewHermTridiagonal can be multiplied by $i$ to be turned into a Hermitian matrix. It can then be turned into real SymTridiagonal using "scalar " givens rotations. Then efficient solvers can be used. The orthogonal transformation will be diagonal, so very cheap to store and compute.
Find a method to provide an eigensolver for
SkewHermtridiagonal
complex matricesThe text was updated successfully, but these errors were encountered: