Resolvent sampling based Rayleigh-Ritz method for large-scale nonlinear eigenvalue problems

A new algorithm, denoted by RSRR, is presented for solving large-scale nonlinear eigenvalue problems (NEPs) with a focus on improving the robustness and reliability of the solution, which is a challenging task in computational science and engineering. The proposed algorithm utilizes the Rayleigh-Rit...

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Vydané v:	arXiv.org
Hlavní autori:	Xiao, Jinyou, Meng, Shuangshuang, Zhang, Chuanzeng, Zheng, Changjun
Médium:	Paper
Jazyk:	English
Vydavateľské údaje:	Ithaca Cornell University Library, arXiv.org 11.05.2016
Predmet:	Algorithms Boundary element method Chebyshev approximation Computation Consumer goods Contours Eigenvalues Eigenvectors Interpolation Parallel processing Rayleigh-Ritz method Reliability Robustness (mathematics) Sampling Shape
ISSN:	2331-8422
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