標題: Structure-preserving Gamma QR and Gamma-Lanczos algorithms for Bethe-Salpeter eigenvalue problems
作者: Guo, Zhen-Chen
Li, Tiexiang
Zhou, Ying-Ying
應用數學系
Department of Applied Mathematics
關鍵字: Bethe-Salpeter eigenvalue problem;Gamma-unitarity;Gamma QR algorithm;Gamma-Lanczos algorithm
公開日期: 15-十月-2018
摘要: To solve the Bethe-Salpeter eigenvalue problem with distinct sizes, two efficient methods, called Gamma QR algorithm and Gamma-Lanczos algorithm, are proposed in this paper. Both algorithms preserve the special structure of the initial matrix. H = [(-(B) over bar) (A) (-(A) over bar) (B)], resulting the computed eigenvalues and the associated eigenvectors still hold the properties similar to those of dr. Theorems are given to demonstrate the validity of the proposed two algorithms in theory. Numerical results are presented to illustrate the superiorities of our methods. (C) 2018 Elsevier B.V. All rights reserved.
URI: http://dx.doi.org/10.1016/j.cam.2018.03.010
http://hdl.handle.net/11536/145123
ISSN: 0377-0427
DOI: 10.1016/j.cam.2018.03.010
期刊: JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
Volume: 341
起始頁: 12
結束頁: 30
顯示於類別:期刊論文