2015
DOI: 10.1016/j.cam.2015.05.011
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A successive quadratic approximations method for nonlinear eigenvalue problems

Abstract: Numerical methods for matrix eigenvalue problems that are nonlinear in the eigenvalue parameter are discussed.We propose a successive quadratic approximations method, which reduces the nonlinear eigenvalue problem into a sequence of quadratic problems. The convergence for the new method is investigated. Numerical experiments illustrate the effectiveness of the method.

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Cited by 18 publications
(4 citation statements)
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References 21 publications
(37 reference statements)
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“…Nonlinear eigenvalue problems have numerous applications in science and engineering [1][2][3][4][5]. Computational methods for solving nonlinear matrix eigenvalue problems were studied in [6][7][8][9][10][11][12][13][14]. The error of the finite difference method for solving differential eigenvalue problems with nonlinear dependence on the spectral parameter was investigated in [1,15].…”
Section: Introductionmentioning
confidence: 99%
“…Nonlinear eigenvalue problems have numerous applications in science and engineering [1][2][3][4][5]. Computational methods for solving nonlinear matrix eigenvalue problems were studied in [6][7][8][9][10][11][12][13][14]. The error of the finite difference method for solving differential eigenvalue problems with nonlinear dependence on the spectral parameter was investigated in [1,15].…”
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%
“…Numerical methods for solving matrix eigenvalue problems with nonlinear dependence on the parameter were constructed and investigated in the papers [5][6][7][8][9][10][11][12][13]. Mesh methods for solving differential nonlinear eigenvalue problems were studied in [14][15][16].…”
Section: Introductionmentioning
confidence: 99%