Eigenvalue problems are a cornerstone of modern applied mathematics, arising in diverse fields from quantum mechanics to structural engineering. At their heart, these problems seek scalar values and ...

This is a preview. Log in through your library . Abstract In this paper, we focus on the stochastic inverse eigenvalue problem of reconstructing a stochastic matrix from the prescribed spectrum. We ...

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 ...