Thr formulation and analysis of numerical methods for inverse Eigenvalue problems
SIAM Journal on Numerical Analysis
Pole assignment by output feedback
Three decades of mathematical system theory
Numerical Solution of the Inverse Eigenvalue Problem for Real Symmetric Toeplitz Matrices
SIAM Journal on Scientific Computing
SIAM Review
On the Convergence Rate of a Quasi-Newton Method for Inverse Eigenvalue Problems
SIAM Journal on Numerical Analysis
A New Parallel Approach to the Toeplitz Inverse Eigenproblem Using Newton-like Methods
VECPAR '00 Selected Papers and Invited Talks from the 4th International Conference on Vector and Parallel Processing
A note on a modification of Moser's method
Journal of Complexity
The Ulm method under mild differentiability conditions
Numerische Mathematik
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We propose a Ulm-like method for solving inverse eigenvalue problems, which avoids solving approximate Jacobian equations comparing with other known methods. A convergence analysis of this method is provided and the R-quadratic convergence property is proved under the assumption of the distinction of given eigenvalues. Numerical experiments as well as the comparison with the inexact Newton-like method are given in the last section.