2019
DOI: 10.1007/s40314-019-0875-8
|View full text |Cite
|
Sign up to set email alerts
|

Generalized inverse eigenvalue problems for augmented periodic Jacobi Matrices

Abstract: In this paper, we propose a new method to solve the generalized inverse eigenvalue problem for periodic Jacobi matrices. Besides, we introduce a new inverse eigenvalue problem for augmented periodic Jacobi matrices, and present a corresponding stable algorithm to solve this inverse problem. Numerical experiments show that the new method we proposed is efficient.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(2 citation statements)
references
References 15 publications
(12 reference statements)
0
2
0
Order By: Relevance
“…There are various forms of the inverse eigenvalue problem that appear depending on the applications; for several forms, one may refer to other studies 1‐9 . Generally, in all the inverse eigenvalue problems, the given information contains either all or part of the eigenvalues or eigenvectors, and the unknown parameters are the elements of a matrix or a matrix pencil 1 .…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…There are various forms of the inverse eigenvalue problem that appear depending on the applications; for several forms, one may refer to other studies 1‐9 . Generally, in all the inverse eigenvalue problems, the given information contains either all or part of the eigenvalues or eigenvectors, and the unknown parameters are the elements of a matrix or a matrix pencil 1 .…”
Section: Introductionmentioning
confidence: 99%
“…There are various forms of the inverse eigenvalue problem that appear depending on the applications; for several forms, one may refer to other studies. [1][2][3][4][5][6][7][8][9] Generally, in all the inverse eigenvalue problems, the given information contains either all or part of the eigenvalues or eigenvectors, and the unknown parameters are the elements of a matrix or a matrix pencil. 1 In this paper, we study a kind of inverse eigenvalue problem that appears in many practical applications in areas such as structural engineering, mechanics, and physics.…”
Section: Introductionmentioning
confidence: 99%