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
Solving the Inverse Toeplitz Eigenproblem Using ScaLAPACK and MPI
Proceedings of the 6th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface
Journal of Computational and Applied Mathematics
Local convergence of inexact methods under the Hölder condition
Journal of Computational and Applied Mathematics
A Ulm-like method for inverse eigenvalue problems
Applied Numerical Mathematics
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H. J. Landau has recently given a nonconstructive proof of an existence theorem for the inverse eigenvalue problem for real symmetric Toeplitz (RST) matrices. This paper presents a procedure for the numerical solution of this problem. The procedure is based on an implementation of Newton's method that exploits Landau's theorem and other special spectral properties of RST matrices. With this version of Newton's method, together with the strategy proposed for applying it, the method appears to be globally convergent; however, this is not proved.