An Ulm-like algorithm for generalized inverse eigenvalue problems
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11075-024-01845-5.pdf
Reference42 articles.
1. Aishima, K.: A quadratically convergent algorithm based on matrix equations for inverse eigenvalue problems. Linear Algebra Appl. 542, 310–333 (2018)
2. Aishima, K.: A quadratically convergent algorithm for inverse eigenvalue problems with multiple eigenvalues. Linear Algebra Appl. 549, 30–52 (2018)
3. Aishima, K.: A quadratically convergent algorithm for inverse generalized eigenvalue problems. J. Comput. Appl. Math. 367, 112485 (2020)
4. Arela-Pérez, S., Lozano, C., Nina, H., Pickmann-Soto, H., Rodríguez, J.: The new inverse eigenvalue problems for periodic and generalized periodic Jacobi matrices from their extremal spectral data. Linear Algebra Appl. 659, 55–72 (2023)
5. Bai, Z.J., Chan, R.H., Morini, B.: An inexact Cayley transform method for inverse eigenvalue problems. Inverse Probl. 20, 1675–1689 (2004)
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