A SMALLEST SINGULAR VALUE METHOD FOR SOLVING INVERSE EIGENVALUE PROBLEMS ⁄1)
Shuai Xu · 1996
Utilizing the properties of the smallest singular value of a matrix, we propose a new, e‐cient and reliable algorithm for solving nonsymmetric matrix inverse eigenvalue problems, and compare it with a known method. We also present numerical experiments which illustrate our results.