1994
DOI: 10.1515/rnam.1994.9.5.417
|View full text |Cite
|
Sign up to set email alerts
|

The bisection method for symmetrie eigenvalue problems with a parameter entering nonlinearly

Abstract: In the paper solvability of an algebraic eigenvalue problem of the type of Α(λ)Χ = Β(λ)χ is studied. Here the matrices Α(μ) and Β(μ) are symmetric and depend on the numerical parameter μ in a special way. To calculate the eigenvalues a bisecting algorithm is proposed. The algorithm is based on the triangular factorization of the matrix Α(μ) -μΒ(μ) and the Silvester theorem on inertia. The method of inverse iterations with shift in determining eigenvectors corresponding to the eigenvalues obtained is studied.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
8
0

Year Published

2014
2014
2019
2019

Publication Types

Select...
7

Relationship

2
5

Authors

Journals

citations
Cited by 27 publications
(8 citation statements)
references
References 0 publications
0
8
0
Order By: Relevance
“…Nonlinear eigenvalue problems arise in various fields of science and technology [16][17][18][19][20][21][22][23]. Approximate methods for solving eigenvalue problems with monotone and nonmonotone dependence on the spectral parameter were studied in [24][25][26][27][28][29][30][31][32][33][34]. The theoretical basis for the study of nonlinear spectral problems is results obtained for linear eigenvalues problems [35][36][37][38][39][40][41][42][43][44].…”
Section: Problem Statementmentioning
confidence: 99%
“…Nonlinear eigenvalue problems arise in various fields of science and technology [16][17][18][19][20][21][22][23]. Approximate methods for solving eigenvalue problems with monotone and nonmonotone dependence on the spectral parameter were studied in [24][25][26][27][28][29][30][31][32][33][34]. The theoretical basis for the study of nonlinear spectral problems is results obtained for linear eigenvalues problems [35][36][37][38][39][40][41][42][43][44].…”
Section: Problem Statementmentioning
confidence: 99%
“…The error of the finite difference method for solving differential eigenvalue problems with nonlinear dependence on the spectral parameter was investigated in [1,15]. For nonlinear differential spectral problems, the finite element method was studied in [16][17][18][19] based on the use general results in the linear case [20][21][22][23]. Approximate methods for solving applied nonlinear boundary value problems and variational inequalities have been investigated in the papers [24][25][26][27][28][29][30].…”
Section: Introductionmentioning
confidence: 99%
“…Nonlinear eigenvalue problems arise in various applications [1][2][3]. Numerical methods for solving matrix eigenvalue problems with nonlinear dependence on the spectral parameter were constructed and investigated in the papers [4][5][6][7][8][9][10][11][12][13]. Mesh methods for solving differential nonlinear eigenvalue problems were studied in the papers [14][15][16].…”
Section: Introductionmentioning
confidence: 99%