
doi: 10.4171/zaa/326
A multi-parameter adjustment algorithm for regularization is established and motivated. Based on numerical experiments concerning the solution of an inverse eigenvalue problem an improved version of this algorithm can be suggested.
Numerical computation of eigenvalues and eigenvectors of matrices, fixed point iteration, convergence, Numerical mathematical programming methods, Nonlinear programming, inverse eigenvalue problem, multi-parameter adjustment algorithm
Numerical computation of eigenvalues and eigenvectors of matrices, fixed point iteration, convergence, Numerical mathematical programming methods, Nonlinear programming, inverse eigenvalue problem, multi-parameter adjustment algorithm
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