Additionally, advancements in parallel computing frameworks have invigorated classical matrix iteration methods, providing robust solutions for large, sparse generalised eigenvalue problems.

For the resulting quadratic eigenvalue problem, a recursive integral method is used to compute real and complex eigenvalues in prescribed regions in the complex plane. Numerical examples are presented ...

The QR algorithm is currently the most popular method for finding all eigenvalues of a full matrix. While QR is now well understood by specialists in eigenvalue computations, this understanding is not ...