2014
DOI: 10.1016/j.laa.2013.12.035
|View full text |Cite
|
Sign up to set email alerts
|

Generalized inverse eigenvalue problem for matrices whose graph is a path

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
3
0

Year Published

2016
2016
2024
2024

Publication Types

Select...
7

Relationship

2
5

Authors

Journals

citations
Cited by 8 publications
(3 citation statements)
references
References 13 publications
0
3
0
Order By: Relevance
“…This introduces a structural constraint on the solution in addition to the spectral constraint. Thus, one may require that both the matrices H and J or one of them to be, for instance, banded or Hermitian or Hamiltonian [12,16] and so on.…”
Section: Introductionmentioning
confidence: 99%
“…This introduces a structural constraint on the solution in addition to the spectral constraint. Thus, one may require that both the matrices H and J or one of them to be, for instance, banded or Hermitian or Hamiltonian [12,16] and so on.…”
Section: Introductionmentioning
confidence: 99%
“…Eigenvalue problems for matrices with prescribed graphs have also been studied in the literature [2,3,10,13,14]. IEPs concerning the reconstruction of special acyclic matrices like path and broom, from given eigen data have been studied in [17,18]. Inverse eigenvalue problems arise in a number of appli-cations such as control theory, pole assignment problems, system identi cation, structural analysis, mass spring vibrations, circuit theory, mechanical system simulation and graph theory [1,9,13,15].…”
Section: Introductionmentioning
confidence: 99%
“…A few special types of inverse eigenvalue problems have been studied in [2][3][4][5][6][7][8]. Inverse problems for matrices with prescribed graphs have been studied in [9][10][11][12][13][14]. Inverse eigenvalue problems arise in a number of applications such as control theory, pole assignment problems, system identification, structural analysis, mass spring vibrations, circuit theory, mechanical system simulation and graph theory [1,12,15,16].…”
Section: Introductionmentioning
confidence: 99%