Inequality-based approximation of matrix eigenvectors
András Kocsor, József Dániel Dombi, Imre Bálint · 2002
A novel procedure is given here for constructing non-negative functions with zero-valued global minima coinciding with eigenvectors of a general real matrix A. Some of these functions are distinct because all their local minima are also global, offering a new way of determining eigenpairs by local optimization.