Generalizations
The Jacobi Method has been generalized to complex Hermitian matrices, general nonsymmetric real and complex matrices as well as block matrices.
Since singular values of a real matrix are the square roots of the eigenvalues of the symmetric matrix it can also be used for the calculation of these values. For this case, the method is modified in such a way that S must not be explicitly calculated which reduces the danger of round-off errors. Note that with .
The Jacobi Method is also well suited for parallelism.
Read more about this topic: Jacobi Eigenvalue Algorithm